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\n  \n 2024\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Distributed online learning over multitask networks with rank-one model.\n \n \n \n\n\n \n Chen, Y.; Jin, D.; Chen, J.; Richard, C.; Zhang, W.; Huang, G.; and Chen, J.\n\n\n \n\n\n\n . 2024.\n Submitted\n\n\n\n
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@article{chen2024distributed,\n\tauthor = {Chen, Yitong and Jin, Danqi and Chen, Jie and Richard, Cédric and Zhang, Wen and Huang, Gongping and Chen, Jingdong},\n\tbdsk-color = {2},\n\tdate-added = {2024-03-12 15:58:01 +0100},\n\tdate-modified = {2024-03-12 16:00:22 +0100},\n\tkeywords = {diffusion adaptation},\n\tnote = {Submitted},\n\ttitle = {Distributed online learning over multitask networks with rank-one model},\n\tyear = {2024}}\n\n
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\n \n\n \n \n \n \n \n Collaborative learning with diffusion LMS and convex sum of non-convex costs.\n \n \n \n\n\n \n Zhang, M.; Chen, J.; and Richard, C.\n\n\n \n\n\n\n . 2024.\n Submitted\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{zhang2024collaborative,\n\tauthor = {Zhang, Mengfei and Chen, Jie and Richard, Cédric},\n\tbdsk-color = {2},\n\tdate-added = {2024-03-07 10:49:07 +0100},\n\tdate-modified = {2024-03-07 10:50:49 +0100},\n\tkeywords = {diffusion adaptation},\n\tnote = {Submitted},\n\ttitle = {Collaborative learning with diffusion LMS and convex sum of non-convex costs},\n\tyear = {2024}}\n\n
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\n  \n inproceedings\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Riemannian diffusion adaptation over graphs with application to online distributed PCA.\n \n \n \n \n\n\n \n Wang, X.; Borsoi, R.; and Richard, C.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2024 IEEE International Conference on, 2024. \n \n\n\n\n
\n\n\n\n \n \n \"Riemannian paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{wang2023riemannian,\n\tauthor = {Wang, Xiuheng and Borsoi, Ricardo and Richard, Cédric},\n\tbdsk-color = {2},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2024 IEEE International Conference on},\n\tdate-added = {2023-09-14 09:34:40 +0200},\n\tdate-modified = {2024-03-12 15:52:58 +0100},\n\tkeywords = {change-point detection},\n\ttitle = {Riemannian diffusion adaptation over graphs with application to online distributed PCA},\n\turl_paper = {Articles/wang2023riemannian.pdf},\n\tyear = {2024}}\n\n
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\n \n\n \n \n \n \n \n Precision traffic monitoring: Leveraging distributed acoustic sensing and deep neural networks.\n \n \n \n\n\n \n Khacef, Y.; Van den Ende, M.; Richard, C.; Ferrari, A.; and Sladen, A.\n\n\n \n\n\n\n . 2023.\n Submitted\n\n\n\n
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@article{khacef2023precision,\n\tauthor = {Khacef, Yacine and Van den Ende, Martijn and Richard, Cédric and Ferrari, André and Sladen, Anthony},\n\tdate-added = {2023-10-11 16:56:44 +0200},\n\tdate-modified = {2023-10-11 16:58:21 +0200},\n\tkeywords = {distributed acoustic sensing},\n\tnote = {Submitted},\n\ttitle = {Precision traffic monitoring: Leveraging distributed acoustic sensing and deep neural networks},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Diffusion-based distributed wave-domain active noise control with convex sum of non-convex quadratic costs.\n \n \n \n \n\n\n \n Zhang, M.; Dong, Y.; Chen, J.; and Richard, C.\n\n\n \n\n\n\n Circuits and Systems II, IEEE Transactions on, 71(3): 1531-1535. 2023.\n Early Access\n\n\n\n
\n\n\n\n \n \n \"Diffusion-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 17 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{zhang2023diffusion,\n\tauthor = {Zhang, Mengfei and Dong, Yuchen and Chen, Jie and Richard, Cédric},\n\tdate-added = {2023-08-28 09:28:58 +0200},\n\tdate-modified = {2024-03-07 09:19:37 +0100},\n\tjournal = {Circuits and Systems II, IEEE Transactions on},\n\tkeywords = {diffusion adaptation},\n\tnote = {Early Access},\n\tnumber = {3},\n\tpages = {1531-1535},\n\ttitle = {Diffusion-based distributed wave-domain active noise control with convex sum of non-convex quadratic costs},\n\turl_paper = {Articles/zhang2023diffusion.pdf},\n\tvolume = {71},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Deep hyperspectral and multispectral image fusion with inter-image variability.\n \n \n \n \n\n\n \n Wang, X.; Borsoi, R.; Richard, C.; and Chen, J.\n\n\n \n\n\n\n Geoscience and Remote Sensing, IEEE Transactions on. 2023.\n Available online\n\n\n\n
\n\n\n\n \n \n \"Deep code\n  \n \n \n \"Deep paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 26 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{wang2023deep,\n\tauthor = {Wang, Xiuheng and Borsoi, Ricardo and Richard, Cédric and Chen, Jie},\n\tdate-added = {2023-04-10 10:28:38 +0200},\n\tdate-modified = {2023-09-09 12:11:36 +0200},\n\tjournal = {Geoscience and Remote Sensing, IEEE Transactions on},\n\tkeywords = {hyperspectral data processing},\n\tnote = {Available online},\n\ttitle = {Deep hyperspectral and multispectral image fusion with inter-image variability},\n\turl_code = {https://github.com/xiuheng-wang/difiv_release},\n\turl_paper = {Articles/wang2023deep.pdf},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Theoretical analysis of the performance of the data-reuse RLS algorithm.\n \n \n \n \n\n\n \n Gao, W.; Chen, J.; and Richard, C.\n\n\n \n\n\n\n Circuits and Systems II, IEEE Transactions on, 71(1): 490-494. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Theoretical paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{gao2023theoretical,\n\tauthor = {Gao, Wei and Chen, Jie and Richard, Cédric},\n\tdate-added = {2023-02-27 14:33:23 +0100},\n\tdate-modified = {2024-01-11 08:40:32 +0100},\n\tjournal = {Circuits and Systems II, IEEE Transactions on},\n\tnumber = {1},\n\tpages = {490-494},\n\ttitle = {Theoretical analysis of the performance of the data-reuse RLS algorithm},\n\turl_paper = {Articles/gao2023theoretical.pdf},\n\tvolume = {71},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Online dominant generalized eigenvectors extraction via a randomized algorithm.\n \n \n \n \n\n\n \n Cai, H.; Kaloorazi, M. F.; Chen, J.; Chen, W.; and Richard, C.\n\n\n \n\n\n\n Vehicular Technology, IEEE Transactions on, 72(6): 7597-7612. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{cai2022online,\n\tauthor = {Cai, Haoyuan and Kaloorazi, Maboud F. and Chen, Jie and Chen, Wei and Richard, Cédric},\n\tdate-added = {2022-11-30 10:16:06 +0100},\n\tdate-modified = {2023-09-01 16:28:58 +0200},\n\tjournal = {Vehicular Technology, IEEE Transactions on},\n\tnumber = {6},\n\tpages = {7597-7612},\n\ttitle = {Online dominant generalized eigenvectors extraction via a randomized algorithm},\n\turl_paper = {Articles/cai2022online.pdf},\n\tvolume = {72},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Spatial deep deconvolution U-Net for traffic analyses with distributed acoustic sensing.\n \n \n \n \n\n\n \n Yuan, S.; Van den Ende, M.; Liu, J.; Noy, H. Y.; Clapp, R.; Richard, C.; and Biondi, B.\n\n\n \n\n\n\n Intelligent Transportation Systems, IEEE Transactions on, 25(2): 1913-1924. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Spatial arxiv\n  \n \n \n \"Spatial paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 17 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{yuan2022spatial,\n\tauthor = {Yuan, Siyuan and Van den Ende, Martijn and Liu, Jingxiao and Noy, Hae Young and Clapp, Robert and Richard, Cédric and Biondi, Biondo},\n\tdate-added = {2022-11-03 15:39:24 +0100},\n\tdate-modified = {2024-02-04 11:12:28 +0100},\n\tjournal = {Intelligent Transportation Systems, IEEE Transactions on},\n\tkeywords = {distributed acoustic sensing},\n\tnumber = {2},\n\tpages = {1913-1924},\n\ttitle = {Spatial deep deconvolution U-Net for traffic analyses with distributed acoustic sensing},\n\turl_arxiv = {https://arxiv.org/abs/2212.03936},\n\turl_paper = {Articles/yuan2022spatial.pdf},\n\tvolume = {25},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Tuning-free plug-and-play hyperspectral image deconvolution with deep priors.\n \n \n \n \n\n\n \n Wang, X.; Chen, J.; Wei, Q.; and Richard, C.\n\n\n \n\n\n\n Geoscience and Remote Sensing, IEEE Transactions on, 61: 1-13. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Tuning-free paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 8 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{wang2022tuning,\n\tauthor = {Wang, Xiuheng and Chen, Jie and Wei, Qi and Richard, Cédric},\n\tdate-added = {2022-07-18 15:59:57 +0200},\n\tdate-modified = {2023-03-29 10:00:24 +0200},\n\tjournal = {Geoscience and Remote Sensing, IEEE Transactions on},\n\tkeywords = {hyperspectral data processing},\n\tpages = {1-13},\n\ttitle = {Tuning-free plug-and-play hyperspectral image deconvolution with deep priors},\n\turl_paper = {Articles/wang2022tuning.pdf},\n\tvolume = {61},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Integration of physics-based and data-driven models for hyperspectral image unmixing: A summary of current methods.\n \n \n \n \n\n\n \n Chen, J.; Zhao, M.; Wang, X.; Richard, C.; and Rahardja, S.\n\n\n \n\n\n\n Signal Processing Magazine, IEEE, 40(2): 61-74. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Integration paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{chen2022integration,\n\tauthor = {Chen, Jie and Zhao, Min and Wang, Xiuheng and Richard, Cédric and Rahardja, Susanto},\n\tdate-added = {2022-03-14 14:33:09 +0100},\n\tdate-modified = {2023-10-15 10:19:09 +0200},\n\tjournal = {Signal Processing Magazine, IEEE},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {2},\n\tpages = {61-74},\n\ttitle = {Integration of physics-based and data-driven models for hyperspectral image unmixing: A summary of current methods},\n\turl_paper = {Articles/chen2022integration.pdf},\n\tvolume = {40},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Deep deconvolution for traffic analysis with distributed acoustic sensing data.\n \n \n \n \n\n\n \n Van den Ende, M.; Ferrari, A.; Sladen, A.; and Richard, C.\n\n\n \n\n\n\n Vehicular Technology, IEEE Transactions on, 24(3): 2947-2962. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Deep paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 23 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{vandenende2021deep,\n\tauthor = {Van den Ende, Martijn and Ferrari, André and Sladen, Anthony and Richard, Cédric},\n\tdate-added = {2021-09-21 08:25:57 +0200},\n\tdate-modified = {2023-10-15 10:19:12 +0200},\n\tjournal = {Vehicular Technology, IEEE Transactions on},\n\tkeywords = {distributed acoustic sensing},\n\tnumber = {3},\n\tpages = {2947-2962},\n\ttitle = {Deep deconvolution for traffic analysis with distributed acoustic sensing data},\n\turl_paper = {Articles/vandenende2021deep.pdf},\n\tvolume = {24},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n A self-supervised deep learning approach for blind denoising and waveform coherence enhancement in distributed acoustic sensing.\n \n \n \n \n\n\n \n Van den Ende, M.; Lior, I.; Ampuero, J.; Sladen, A.; Ferrari, A.; and Richard, C.\n\n\n \n\n\n\n Neural Networks and Learning Systems, IEEE Transactions on, 34(7). 2023.\n \n\n\n\n
\n\n\n\n \n \n \"A arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{vandenende2021self1,\n\tauthor = {Van den Ende, Martijn and Lior, Itzhak and Ampuero, Jean-Paul and Sladen, Anthony and Ferrari, André and Richard, Cédric},\n\tdate-added = {2021-02-09 13:40:47 +0100},\n\tdate-modified = {2023-07-07 11:02:46 +0200},\n\tjournal = {Neural Networks and Learning Systems, IEEE Transactions on},\n\tkeywords = {distributed acoustic sensing},\n\tnumber = {7},\n\ttitle = {A self-supervised deep learning approach for blind denoising and waveform coherence enhancement in distributed acoustic sensing},\n\turl_arxiv = {https://eartharxiv.org/repository/view/2136/},\n\tvolume = {34},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Online change point detection with kernels.\n \n \n \n \n\n\n \n Ferrari, A.; Richard, C.; Bourrier, A.; and Bouchikhi, I.\n\n\n \n\n\n\n Pattern Recognition, 133: 109022. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Online arxiv\n  \n \n \n \"Online code\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{bouchikhi2022online,\n\tauthor = {Ferrari, André and Richard, Cédric and Bourrier, Anthony and Bouchikhi, Ikram},\n\tdate-added = {2020-02-05 16:03:59 +0100},\n\tdate-modified = {2023-09-09 12:12:16 +0200},\n\tjournal = {Pattern Recognition},\n\tkeywords = {online learning},\n\tpages = {109022},\n\ttitle = {Online change point detection with kernels},\n\turl_arxiv = {https://arxiv.org/abs/2002.02704},\n\turl_code = {https://github.com/andferrari/NOUGAT.jl},\n\tvolume = {133},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed pressure matching for personal sound zone control using diffusion adaptation.\n \n \n \n \n\n\n \n Zhang, M.; Junqing, Z.; Chen, J.; and Richard, C.\n\n\n \n\n\n\n In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023 IEEE International Workshop on, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{zhang2023distributed,\n\tauthor = {Zhang, Mengfei and Junqing, Zhang and Chen, Jie and Richard, Cédric},\n\tbdsk-color = {2},\n\tbooktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023 IEEE International Workshop on},\n\tdate-added = {2023-09-23 17:30:19 +0200},\n\tdate-modified = {2024-03-07 09:34:01 +0100},\n\tkeywords = {diffusion adaptation},\n\ttitle = {Distributed pressure matching for personal sound zone control using diffusion adaptation},\n\turl_paper = {Articles/zhang2023distributed.pdf},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed change point detection in streaming manifold-valued signals over graph.\n \n \n \n \n\n\n \n Wang, X.; Borsoi, R.; Richard, C.; and Ferrari, A.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2023 Asilomar Conference on, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 8 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{wang2023distributed,\n\tauthor = {Wang, Xiuheng and Borsoi, Ricardo and Richard, Cédric and Ferrari, André},\n\tbdsk-color = {2},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2023 Asilomar Conference on},\n\tdate-added = {2023-09-01 13:07:51 +0200},\n\tdate-modified = {2023-11-07 08:36:28 +0100},\n\ttitle = {Distributed change point detection in streaming manifold-valued signals over graph},\n\turl_paper = {Articles/wang2023distributed.pdf},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed learning with convex sum-of-non-convex objective.\n \n \n \n \n\n\n \n Zhang, M.; Chen, J.; and Richard, C.\n\n\n \n\n\n\n In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023 IEEE International Workshop on, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{zhang2023distributed2,\n\tauthor = {Zhang, Mengfei and Chen, Jie and Richard, Cédric},\n\tbdsk-color = {2},\n\tbooktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023 IEEE International Workshop on},\n\tdate-added = {2023-09-01 13:04:56 +0200},\n\tdate-modified = {2024-03-07 09:34:34 +0100},\n\tkeywords = {diffusion adaptation},\n\ttitle = {Distributed learning with convex sum-of-non-convex objective},\n\turl_paper = {Articles/zhang2023distributed2.pdf},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Détection de changements dans des signaux sur graphe à valeur dans des variétés riemanniennes.\n \n \n \n \n\n\n \n Wang, X.; Borsoi, R.; Richard, C.; and Ferrari, A.\n\n\n \n\n\n\n In Actes du 29e Colloque GRETSI sur le Traitement du Signal et des Images, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"Détection paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{wang2023detection,\n\tauthor = {Wang, Xiuheng and Borsoi, Ricardo and Richard, Cédric and Ferrari, André},\n\tbooktitle = {Actes du 29e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2023-04-10 10:36:53 +0200},\n\tdate-modified = {2023-10-15 11:50:55 +0200},\n\ttitle = {Détection de changements dans des signaux sur graphe à valeur dans des variétés riemanniennes},\n\turl_paper = {https://gretsi.fr/data/colloque/pdf/2023_richard1210.pdf},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Online change point detection on Riemannian manifolds with Karcher mean estimates.\n \n \n \n \n\n\n \n Wang, X.; Borsoi, R.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 31st European Conference on, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"Online arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{wang2023online,\n\tauthor = {Wang, Xiuheng and Borsoi, Ricardo and Richard, Cédric},\n\tbooktitle = {Signal Processing (EUSIPCO), 31st European Conference on},\n\tdate-added = {2023-03-05 22:37:22 +0100},\n\tdate-modified = {2024-03-07 10:58:21 +0100},\n\ttitle = {Online change point detection on Riemannian manifolds with Karcher mean estimates},\n\turl_arxiv = {https://hal.science/hal-04329630v1/file/_EUSIPCO_2023__Online_Change_Point_.pdf},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n \n Change point detection with neural online density-ratio estimator.\n \n \n \n \n\n\n \n Wang, X.; Borsoi, R.; Richard, C.; and Chen, J.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2023 IEEE International Conference on, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"Change paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 19 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{wang2023change,\n\tauthor = {Wang, Xiuheng and Borsoi, Ricardo and Richard, Cédric and Chen, Jie},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2023 IEEE International Conference on},\n\tdate-added = {2022-11-24 08:49:54 +0100},\n\tdate-modified = {2023-10-15 11:50:55 +0200},\n\tkeywords = {change-point detection},\n\ttitle = {Change point detection with neural online density-ratio estimator},\n\turl_paper = {Articles/wang2023change.pdf},\n\tyear = {2023}}\n\n
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\n \n\n \n \n \n \n \n Anomaly detection in graph signals with canonical correlation analysis.\n \n \n \n\n\n \n Sun, X.; Nassif, R.; and Richard, C.\n\n\n \n\n\n\n In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023 IEEE International Workshop on, 2023. \n Accepted\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{sun2023anomaly,\n\tauthor = {Sun, Xuandi and Nassif, Roula and Richard, Cédric},\n\tbdsk-color = {2},\n\tbooktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023 IEEE International Workshop on},\n\tdate-added = {2022-11-24 08:43:14 +0100},\n\tdate-modified = {2023-10-15 11:59:47 +0200},\n\tnote = {Accepted},\n\ttitle = {Anomaly detection in graph signals with canonical correlation analysis},\n\tyear = {2023}}\n\n
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\n  \n 2022\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Transient performance analysis of the L1-RLS algorithm.\n \n \n \n \n\n\n \n Gao, W.; Chen, J.; Richard, C.; Shi, W.; and Zhang, Q.\n\n\n \n\n\n\n Signal Processing Letters, IEEE, 29: 90-94. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"Transient arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{gao2021transient2,\n\tauthor = {Gao, Wei and Chen, Jie and Richard, Cédric and Shi, Wentao and Zhang, Qunfei},\n\tdate-added = {2021-09-10 08:23:08 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing Letters, IEEE},\n\tpages = {90-94},\n\ttitle = {Transient performance analysis of the L1-RLS algorithm},\n\turl_arxiv = {https://arxiv.org/abs/2109.06749},\n\tvolume = {29},\n\tyear = {2022}}\n\n
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\n \n\n \n \n \n \n \n \n Hyperspectral super-resolution accounting for spectral variability: Coupled tensor LL1-based recovery and blind unmixing of the unknown super-resolution image.\n \n \n \n \n\n\n \n Prévost, C.; Borsoi, R.; Usevich, K.; Brie, D.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n SIAM Journal on Imaging Sciences, 15(1). 2022.\n \n\n\n\n
\n\n\n\n \n \n \"Hyperspectral paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{prevost2021hyperspectral,\n\tauthor = {Prévost, Clémence and Borsoi, Ricardo and Usevich, Konstantin and Brie, David and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tdate-added = {2021-04-29 14:45:12 +0200},\n\tdate-modified = {2023-10-14 16:58:12 +0200},\n\tjournal = {SIAM Journal on Imaging Sciences},\n\tkeywords = {hyperspectral data processing},\n\tnumber = {1},\n\ttitle = {Hyperspectral super-resolution accounting for spectral variability: Coupled tensor LL1-based recovery and blind unmixing of the unknown super-resolution image},\n\turl_paper = {https://hal.archives-ouvertes.fr/hal-03158076/document},\n\tvolume = {15},\n\tyear = {2022}}\n\n
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\n \n\n \n \n \n \n \n \n Graph topology inference with derivative-reproducing property in RKHS: algorithm and convergence analysis.\n \n \n \n \n\n\n \n Moscu, M.; Borsoi, R.; Richard, C.; and Bermudez, J. M.\n\n\n \n\n\n\n Signal and Information Processing over Networks, IEEE Transactions on, 8: 78-91. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"Graph arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 15 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@article{moscu2021graph,\n\tauthor = {Moscu, Mircea and Borsoi, Ricardo and Richard, Cédric and Bermudez, Jose-Carlos M.},\n\tdate-added = {2021-04-07 07:49:48 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal and Information Processing over Networks, IEEE Transactions on},\n\tkeywords = {distributed learning, graph signal processing},\n\tpages = {78-91},\n\ttitle = {Graph topology inference with derivative-reproducing property in RKHS: algorithm and convergence analysis},\n\turl_arxiv = {https://arxiv.org/pdf/2104.13687.pdf},\n\tvolume = {8},\n\tyear = {2022}}\n\n
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\n \n\n \n \n \n \n \n \n Self-supervised velocity field learning for high-resolution traffic monitoring with distributed acoustic sensing.\n \n \n \n \n\n\n \n Khacef, Y.; Van den Ende, M.; Ferrari, A.; Richard, C.; and Sladen, A.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2022 Asilomar Conference on, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"Self-supervised paper\n  \n \n \n \"Self-supervised youtube\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 46 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{khacef2022self,\n\tauthor = {Khacef, Yacine and Van den Ende, Martijn and Ferrari, André and Richard, Cédric and Sladen, Anthony},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2022 Asilomar Conference on},\n\tdate-added = {2022-08-30 13:59:49 +0200},\n\tdate-modified = {2023-03-03 08:41:46 +0100},\n\tkeywords = {distributed acoustic sensing},\n\ttitle = {Self-supervised velocity field learning for high-resolution traffic monitoring with distributed acoustic sensing},\n\turl_paper = {Articles/khacef2022self.pdf},\n\turl_youtube = {Articles/khacef2022self.mp4},\n\tyear = {2022}}\n\n
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\n \n\n \n \n \n \n \n \n Deep image fusion accounting for inter-image variability.\n \n \n \n \n\n\n \n Wang, X.; Borsoi, R.; Richard, C.; and Chen, J.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2022 Asilomar Conference on, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"Deep paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 8 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{wang2022deep,\n\tauthor = {Wang, Xiuheng and Borsoi, Ricardo and Richard, Cédric and Chen, Jie},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2022 Asilomar Conference on},\n\tdate-added = {2022-08-30 13:56:34 +0200},\n\tdate-modified = {2022-11-02 12:13:00 +0100},\n\ttitle = {Deep image fusion accounting for inter-image variability},\n\turl_paper = {Articles/wang2022deep.pdf},\n\tyear = {2022}}\n\n
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\n \n\n \n \n \n \n \n \n Factorisation tensorielle couplée en termes de rangs (L, L, 1) : application conjointe à la super-résolution hyperspectrale et au démélange en présence de variabilité spectrale.\n \n \n \n \n\n\n \n Prévost, C.; Borsoi, R.; Usevich, K.; Brie, D.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n In Actes du 28e Colloque GRETSI sur le Traitement du Signal et des Images, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"Factorisation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{prevost2022factorisation,\n\tauthor = {Prévost, Clémence and Borsoi, Ricardo and Usevich, Konstantin and Brie, David and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tbooktitle = {Actes du 28e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2022-07-14 14:46:57 +0200},\n\tdate-modified = {2022-07-14 14:51:05 +0200},\n\ttitle = {Factorisation tensorielle couplée en termes de rangs (L, L, 1) : application conjointe à la super-résolution hyperspectrale et au démélange en présence de variabilité spectrale},\n\turl_paper = {Articles/prevost2022factorisation.pdf},\n\tyear = {2022}}\n\n
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\n \n\n \n \n \n \n \n \n Tensor-based image fusion accounting for inter-image variability: Recoverability and algorithms.\n \n \n \n \n\n\n \n Borsoi, R.; Prévost, C.; Usevich, K.; Brie, D.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n In Actes du 28e Colloque GRETSI sur le Traitement du Signal et des Images, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"Tensor-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 10 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{borsoi2022tensor,\n\tauthor = {Borsoi, Ricardo and Prévost, Clémence and Usevich, Konstantin and Brie, David and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tbooktitle = {Actes du 28e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2022-07-14 14:41:32 +0200},\n\tdate-modified = {2022-07-14 14:48:55 +0200},\n\ttitle = {Tensor-based image fusion accounting for inter-image variability: Recoverability and algorithms},\n\turl_paper = {Articles/borsoi2022tensor.pdf},\n\tyear = {2022}}\n\n
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\n \n\n \n \n \n \n \n \n Transient analysis of diffusion recursive least squares via signed error algorithm for cyclostationary colored inputs.\n \n \n \n \n\n\n \n Gao, W.; Xu, Y.; Chen, J.; and Richard, C.\n\n\n \n\n\n\n In Machine Learning for Signal Processing (MLSP), 2022 IEEE International Workshop on, pages 1-6, 2022. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Transient paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{gao2022transient2,\n\tauthor = {Gao, Wei and Xu, Yi and Chen, Jie and Richard, Cédric},\n\tbooktitle = {Machine Learning for Signal Processing (MLSP), 2022 IEEE International Workshop on},\n\tdate-added = {2022-07-14 14:31:30 +0200},\n\tdate-modified = {2023-10-15 11:21:55 +0200},\n\torganization = {IEEE},\n\tpages = {1-6},\n\ttitle = {Transient analysis of diffusion recursive least squares via signed error algorithm for cyclostationary colored inputs},\n\turl_paper = {Articles/gao2022transient2.pdf},\n\tyear = {2022}}\n\n
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\n \n\n \n \n \n \n \n \n Hyperspectral image super-resolution with deep priors and degradation model inversion.\n \n \n \n \n\n\n \n Wang, X.; Chen, J.; and Richard, C.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2022 IEEE International Conference on, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"Hyperspectral paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 9 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{wang2022hyperspectral,\n\tauthor = {Wang, Xiuheng and Chen, Jie and Richard, Cédric},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2022 IEEE International Conference on},\n\tdate-added = {2021-10-05 13:29:14 +0200},\n\tdate-modified = {2023-10-15 11:50:55 +0200},\n\tkeywords = {hyperspectral data processing},\n\ttitle = {Hyperspectral image super-resolution with deep priors and degradation model inversion},\n\turl_paper = {Articles/wang2022hyperspectral.pdf},\n\tyear = {2022}}\n\n
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\n \n\n \n \n \n \n \n \n Transient analysis of clustered multitask diffusion RLS algorithm.\n \n \n \n \n\n\n \n Gao, W.; Chen, J.; Richard, C.; Shi, W.; and Zhang, Q.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2022 IEEE International Conference on, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"Transient paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{gao2022transient,\n\tauthor = {Gao, Wei and Chen, Jie and Richard, Cédric and Shi, Wentao and Zhang, Qunfei},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2022 IEEE International Conference on},\n\tdate-added = {2021-10-05 07:39:07 +0200},\n\tdate-modified = {2023-10-15 11:50:55 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Transient analysis of clustered multitask diffusion RLS algorithm},\n\turl_paper = {Articles/gao2022transient.pdf},\n\tyear = {2022}}\n\n
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\n \n\n \n \n \n \n \n \n Deep deconvolution applied to distributed acoustic sensing for traffic analysis.\n \n \n \n \n\n\n \n Van den Ende, M.; Ferrari, A.; Sladen, A.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 30th European Conference on, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"Deep paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 10 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{vandenende2022deep,\n\tauthor = {Van den Ende, Martijn and Ferrari, André and Sladen, Anthony and Richard, Cédric},\n\tbooktitle = {Signal Processing (EUSIPCO), 30th European Conference on},\n\tdate-added = {2021-02-09 08:30:16 +0100},\n\tdate-modified = {2023-10-15 11:50:55 +0200},\n\tkeywords = {distributed acoustic sensing},\n\ttitle = {Deep deconvolution applied to distributed acoustic sensing for traffic analysis},\n\turl_paper = {Articles/vandenende2022deep.pdf},\n\tyear = {2022}}\n\n
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\n \n\n \n \n \n \n \n \n In vitro and in vivo multispectral photoacoustic imaging for the evaluation of chromophore concentration.\n \n \n \n \n\n\n \n Dolet, A.; Ammanouil, R.; Petrilli, V.; Richard, C.; Tortoli, P.; and Varray, F.\n\n\n \n\n\n\n Sensors, 21(10). 2021.\n \n\n\n\n
\n\n\n\n \n \n \"In paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{dolet2021vitro,\n\tauthor = {Dolet, Aneline and Ammanouil, Rita and Petrilli, Virginie and Richard, Cédric and Tortoli, Piero and Varray, Francois},\n\tdate-added = {2021-05-10 08:03:34 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Sensors},\n\tkeywords = {hyperspectral data processing},\n\tnumber = {10},\n\ttitle = {In vitro and in vivo multispectral photoacoustic imaging for the evaluation of chromophore concentration},\n\turl_paper = {https://www.mdpi.com/1424-8220/21/10/3366/htm},\n\tvolume = {21},\n\tyear = {2021}}\n\n
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\n \n\n \n \n \n \n \n \n From time-frequency to vertex-frequency and back.\n \n \n \n \n\n\n \n Stankovic, L.; Lerga, J.; Mandic, D.; Brajovic, M.; Richard, C.; and Dakovic, M.\n\n\n \n\n\n\n Mathematics, 9(12). 2021.\n \n\n\n\n
\n\n\n\n \n \n \"From paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@article{stankovic2021from,\n\tauthor = {Stankovic, Ljubisa and Lerga, Jonatan and Mandic, Danilo and Brajovic, Milos and Richard, Cédric and Dakovic, Milos},\n\tdate-added = {2021-04-23 11:58:07 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Mathematics},\n\tkeywords = {time-frequency analysis, graph signal processing},\n\tnumber = {12},\n\ttitle = {From time-frequency to vertex-frequency and back},\n\turl_paper = {Articles/stankovic2021from.pdf},\n\tvolume = {9},\n\tyear = {2021}}\n\n
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\n \n\n \n \n \n \n \n \n Fast unmixing and change detection in multitemporal hyperspectral data.\n \n \n \n \n\n\n \n Borsoi, R.; Imbiriba, T.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n Computational Imaging, IEEE Transactions on, 7: 975-988. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"Fast arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{borsoi2021fast,\n\tauthor = {Borsoi, Ricardo and Imbiriba, Tales and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tdate-added = {2021-04-07 07:47:56 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Computational Imaging, IEEE Transactions on},\n\tkeywords = {hyperspectral data unmixing},\n\tpages = {975-988},\n\ttitle = {Fast unmixing and change detection in multitemporal hyperspectral data},\n\turl_arxiv = {https://arxiv.org/abs/2104.02837},\n\tvolume = {7},\n\tyear = {2021}}\n\n
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\n \n\n \n \n \n \n \n \n Coupled tensor decomposition for hyperspectral and multispectral image fusion with inter-image variability.\n \n \n \n \n\n\n \n Borsoi, R.; Prévost, C.; Usevich, K.; Brie, D.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n Signal Processing, IEEE Journal of Selected Topics in, 15(3): 702-717. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"Coupled arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 25 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{borsoi2020decomposition,\n\tauthor = {Borsoi, Ricardo and Prévost, Clémence and Usevich, Konstantin and Brie, David and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tdate-added = {2021-02-09 15:06:35 +0100},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Journal of Selected Topics in},\n\tkeywords = {hyperspectral data processing},\n\tnumber = {3},\n\tpages = {702-717},\n\ttitle = {Coupled tensor decomposition for hyperspectral and multispectral image fusion with inter-image variability},\n\turl_arxiv = {https://arxiv.org/pdf/2006.16968.pdf},\n\tvolume = {15},\n\tyear = {2021}}\n\n
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\n \n\n \n \n \n \n \n \n Transient theoretical analysis of diffusion RLS algorithm for cyclostationary colored inputs.\n \n \n \n \n\n\n \n Gao, W.; Chen, J.; and Richard, C.\n\n\n \n\n\n\n Signal Processing Letters, IEEE, 28: 1160-1164. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"Transient arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 9 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{gao2021transient,\n\tauthor = {Gao, Wei and Chen, Jie and Richard, Cédric},\n\tdate-added = {2021-01-09 18:22:08 +0100},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing Letters, IEEE},\n\tkeywords = {sensor networks: distributed learning},\n\tpages = {1160-1164},\n\ttitle = {Transient theoretical analysis of diffusion RLS algorithm for cyclostationary colored inputs},\n\turl_arxiv = {https://arxiv.org/pdf/2101.04502.pdf},\n\tvolume = {28},\n\tyear = {2021}}\n\n
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\n \n\n \n \n \n \n \n \n Hyperspectral image super-resolution via deep prior regularization with parameter estimation.\n \n \n \n \n\n\n \n Wang, X.; Chen, J.; Wei, Q.; and Richard, C.\n\n\n \n\n\n\n Circuits and Systems for Video Technology, IEEE Transactions on. 2021.\n Early Access\n\n\n\n
\n\n\n\n \n \n \"Hyperspectral arxiv\n  \n \n \n \"Hyperspectral code\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 15 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{wang2020hyperspectral,\n\tauthor = {Wang, Xiuheng and Chen, Jie and Wei, Qi and Richard, Cédric},\n\tdate-added = {2020-03-04 09:47:02 +0100},\n\tdate-modified = {2022-11-03 15:45:22 +0100},\n\tjournal = {Circuits and Systems for Video Technology, IEEE Transactions on},\n\tkeywords = {hyperspectral data processing},\n\tnote = {Early Access},\n\ttitle = {Hyperspectral image super-resolution via deep prior regularization with parameter estimation},\n\turl_arxiv = {https://arxiv.org/abs/2009.04237},\n\turl_code = {https://github.com/XiuhengWang/Sylvester_TSFN_MDC_HSI_superresolution},\n\tyear = {2021}}\n\n
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\n \n\n \n \n \n \n \n \n Deep generative models for library augmentation in multiple endmember spectral mixture analysis.\n \n \n \n \n\n\n \n Borsoi, R.; Imbiriba, T.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n Geoscience and Remote Sensing, IEEE Letters on, 18(10): 1831-1835. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"Deep arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{borsoi2019endmember,\n\tauthor = {Borsoi, Ricardo and Imbiriba, Tales and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tdate-added = {2019-09-19 13:44:29 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Geoscience and Remote Sensing, IEEE Letters on},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {10},\n\tpages = {1831-1835},\n\ttitle = {Deep generative models for library augmentation in multiple endmember spectral mixture analysis},\n\turl_arxiv = {https://arxiv.org/pdf/1909.09741.pdf},\n\tvolume = {18},\n\tyear = {2021}}\n\n
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\n  \n inproceedings\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n A self-supervised deep learning approach for improving signal coherence in distributed acoustic sensing.\n \n \n \n \n\n\n \n Van den Ende, M.; Lior, I.; Ampuero, J.; Sladen, A.; and Richard, C.\n\n\n \n\n\n\n In European Geosciences Union General Assembly, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"A youtube\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 13 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{vandenende2021self,\n\tauthor = {Van den Ende, Martijn and Lior, Itzhak and Ampuero, Jean-Paul and Sladen, Anthony and Richard, Cédric},\n\tbooktitle = {European Geosciences Union General Assembly},\n\tdate-added = {2022-04-07 16:42:23 +0200},\n\tdate-modified = {2022-04-07 16:42:24 +0200},\n\tkeywords = {distributed acoustic sensing},\n\ttitle = {A self-supervised deep learning approach for improving signal coherence in distributed acoustic sensing},\n\turl_youtube = {https://www.youtube.com/watch?v=9NNElFOIzK8},\n\tyear = {2021}}\n\n
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\n \n\n \n \n \n \n \n \n Coupled tensor models accounting for inter-image variability.\n \n \n \n \n\n\n \n Prévost, C.; Borsoi, R.; Usevich, K.; Brie, D.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2021 Asilomar Conference on, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"Coupled youtube\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 10 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{prevost2021coupled,\n\tauthor = {Prévost, Clémence and Borsoi, Ricardo and Usevich, Konstantin and Brie, David and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2021 Asilomar Conference on},\n\tdate-added = {2021-04-30 09:29:33 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data processing},\n\ttitle = {Coupled tensor models accounting for inter-image variability},\n\turl_youtube = {https://www.youtube.com/watch?v=aPy43D8Ejss},\n\tyear = {2021}}\n\n
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\n \n\n \n \n \n \n \n \n Convergence analysis of the graph-topology-inference kernel LMS algorithm.\n \n \n \n \n\n\n \n Moscu, M.; Nassif, R.; Hua, F.; and Richard, C.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2021 IEEE International Conference on, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"Convergence paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 26 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{moscu2021convergence,\n\tauthor = {Moscu, Mircea and Nassif, Roula and Hua, Fei and Richard, Cédric},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2021 IEEE International Conference on},\n\tdate-added = {2021-01-31 10:40:28 +0100},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {graph signal processing},\n\ttitle = {Convergence analysis of the graph-topology-inference kernel LMS algorithm},\n\turl_paper = {Articles/moscu2021convergence.pdf},\n\tyear = {2021}}\n\n
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\n \n\n \n \n \n \n \n \n Next-generation traffic monitoring with distributed acoustic sensing arrays and optimum array processing.\n \n \n \n \n\n\n \n Van den Ende, M.; Ferrari, A.; Sladen, A.; and Richard, C.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2021 Asilomar Conference on, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"Next-generation arxiv\n  \n \n \n \"Next-generation paper\n  \n \n \n \"Next-generation youtube\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 26 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{vandenende2021next,\n\tauthor = {Van den Ende, Martijn and Ferrari, André and Sladen, Anthony and Cédric Richard},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2021 Asilomar Conference on},\n\tdate-added = {2021-01-09 18:48:48 +0100},\n\tdate-modified = {2022-11-29 08:44:10 +0100},\n\tkeywords = {distributed acoustic sensing},\n\ttitle = {Next-generation traffic monitoring with distributed acoustic sensing arrays and optimum array processing},\n\turl_arxiv = {https://ieeexplore.ieee.org/document/9723373},\n\turl_paper = {Articles/vandenende2021next.pdf},\n\turl_youtube = {https://youtu.be/xdG1yCRwFZY},\n\tyear = {2021}}\n\n
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\n  \n 2020\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Convex combination of diffusion strategies over networks.\n \n \n \n \n\n\n \n Jin, D.; Chen, J.; Richard, C.; Chen, J.; and Sayed, A. H.\n\n\n \n\n\n\n Signal and Information Processing over Networks, IEEE Transactions on, 6: 714-731. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Convex paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 8 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{jin2020convex,\n\tauthor = {Jin, Danqi and Chen, Jie and Richard, Cédric and Chen, Jingdong and Sayed, Ali H.},\n\tdate-added = {2020-08-24 12:34:42 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal and Information Processing over Networks, IEEE Transactions on},\n\tkeywords = {sensor networks: distributed learning},\n\tpages = {714-731},\n\ttitle = {Convex combination of diffusion strategies over networks},\n\turl_paper = {Articles/jin2020convex.pdf},\n\tvolume = {6},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Online proximal learning over multitask networks over jointly sparse multitask networks with L(infty,1) regularization.\n \n \n \n \n\n\n \n Jin, D.; Chen, J.; Richard, C.; and Chen, J.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 68: 2087-2104. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 9 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{jin2020online,\n\tauthor = {Jin, Danqi and Chen, Jie and Richard, Cédric and Chen, Jingdong},\n\tdate-added = {2020-04-02 11:46:23 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {sensor networks: distributed learning},\n\tpages = {2087-2104},\n\ttitle = {Online proximal learning over multitask networks over jointly sparse multitask networks with L(infty,1) regularization},\n\turl_paper = {Articles/jin2020online.pdf},\n\tvolume = {68},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Diffusion LMS with communication delays: Stability and performance analysis.\n \n \n \n \n\n\n \n Hua, F.; Nassif, R.; Richard, C.; Wang, H.; and Sayed, A. H.\n\n\n \n\n\n\n Signal Processing Letters, IEEE, 27: 730-734. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Diffusion code\n  \n \n \n \"Diffusion paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 36 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{hua2020diffusion,\n\tauthor = {Hua, Fei and Nassif, Roula and Richard, Cédric and Wang, Haiyan and Sayed, Ali H.},\n\tdate-added = {2020-01-21 16:08:34 +0100},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing Letters, IEEE},\n\tkeywords = {graph signal processing},\n\tpages = {730-734},\n\ttitle = {Diffusion LMS with communication delays: Stability and performance analysis},\n\turl_code = {Matlab/hua2020diffusion.zip},\n\turl_paper = {Articles/hua2020diffusion.pdf},\n\tvolume = {27},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Spectral variability in hyperspectral data unmixing: a comprehensive review.\n \n \n \n \n\n\n \n Borsoi, R.; Imbiriba, T.; Bermudez, J. M.; Richard, C.; Chanussot, J.; Drumetz, L.; Tourneret, J.; Zare, A.; and Jutten, C.\n\n\n \n\n\n\n . 2020.\n To appear\n\n\n\n
\n\n\n\n \n \n \"Spectral arxiv\n  \n \n \n \"Spectral code\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 10 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{borsoi2020spectral,\n\tauthor = {Borsoi, Ricardo and Imbiriba, Tales and Bermudez, Jose-Carlos M. and Richard, Cédric and Chanussot, Jocelin and Drumetz, Lucas and Tourneret, Jean-Yves and Zare, Alina and Jutten, Christian},\n\tdate-added = {2020-01-10 08:12:05 +0100},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data processing},\n\tnote = {To appear},\n\ttitle = {Spectral variability in hyperspectral data unmixing: a comprehensive review},\n\turl_arxiv = {https://arxiv.org/abs/2001.07307},\n\turl_code = {https://github.com/ricardoborsoi/unmixing_spectral_variability},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Learning over multitask graphs – Part I: Stability analysis.\n \n \n \n \n\n\n \n Nassif, R.; Vlaski, S.; Richard, C.; and Sayed, A. H.\n\n\n \n\n\n\n Signal Processing, IEEE Open Journal on, 1: 28-45. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Learning paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{nassif2019learning,\n\tauthor = {Nassif, Roula and Vlaski, Stefan and Richard, Cédric and Sayed, Ali H.},\n\tdate-added = {2019-11-22 15:52:04 +0100},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Open Journal on},\n\tkeywords = {distributed learning},\n\tpages = {28-45},\n\ttitle = {Learning over multitask graphs – Part I: Stability analysis},\n\turl_paper = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9075197},\n\tvolume = {1},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Learning over multitask graphs – Part II: Performance analysis.\n \n \n \n \n\n\n \n Nassif, R.; Vlaski, S.; Richard, C.; and Sayed, A. H.\n\n\n \n\n\n\n Signal Processing, IEEE Open Journal on, 1(46-63). 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Learning paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{nassif2019learning2,\n\tauthor = {Nassif, Roula and Vlaski, Stefan and Richard, Cédric and Sayed, Ali H.},\n\tdate-added = {2019-11-15 12:13:51 +0100},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Open Journal on},\n\tkeywords = {distributed learning},\n\tnumber = {46-63},\n\ttitle = {Learning over multitask graphs – Part II: Performance analysis},\n\turl_paper = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9075192},\n\tvolume = {1},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Kalman filtering and expectation maximization for multitemporal spectral unmixing.\n \n \n \n \n\n\n \n Borsoi, R.; Imbiriba, T.; Pau, C.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n Geoscience and Remote Sensing, IEEE Letters on, 19: 1-5. 2020.\n Early Access\n\n\n\n
\n\n\n\n \n \n \"Kalman paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{borsoi2019kalman,\n\tauthor = {Borsoi, Ricardo and Imbiriba, Tales and Pau, Closas and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tdate-added = {2019-11-02 19:27:44 +0100},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Geoscience and Remote Sensing, IEEE Letters on},\n\tkeywords = {hyperspectral data processing},\n\tnote = {Early Access},\n\tpages = {1-5},\n\ttitle = {Kalman filtering and expectation maximization for multitemporal spectral unmixing},\n\turl_paper = {Articles/borsoi2019kalman.pdf},\n\tvolume = {19},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n A blind multiscale spatial regularization framework for kernel-based spectral unmixing.\n \n \n \n \n\n\n \n Borsoi, R.; Imbiriba, T.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n Image Processing, IEEE Transactions on, 29: 4965-4979. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"A arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{borsoi2019blind,\n\tauthor = {Borsoi, Ricardo and Imbiriba, Tales and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tdate-added = {2019-05-23 17:02:33 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Image Processing, IEEE Transactions on},\n\tkeywords = {hyperspectral data unmixing},\n\tpages = {4965-4979},\n\ttitle = {A blind multiscale spatial regularization framework for kernel-based spectral unmixing},\n\turl_arxiv = {https://arxiv.org/pdf/1908.06925.pdf},\n\tvolume = {29},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Online distributed learning over graphs with multitask graph-filter models.\n \n \n \n \n\n\n \n Hua, F.; Nassif, R.; Richard, C.; Wang, H.; and Sayed, A. H.\n\n\n \n\n\n\n Signal and Information Processing over Networks, IEEE Transactions on, 6(1): 63-77. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 8 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{hua2019online,\n\tauthor = {Hua, Fei and Nassif, Roula and Richard, Cédric and Wang, Haiyan and Sayed, Ali H.},\n\tdate-added = {2019-04-22 11:45:34 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal and Information Processing over Networks, IEEE Transactions on},\n\tkeywords = {sensor networks: distributed learning},\n\tnumber = {1},\n\tpages = {63-77},\n\ttitle = {Online distributed learning over graphs with multitask graph-filter models},\n\turl_paper = {Articles/hua2019online.pdf},\n\tvolume = {6},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Multitask learning over graphs: an approach for distributed, streaming machine learning.\n \n \n \n \n\n\n \n Nassif, R.; Richard, C.; Chen, J.; and Sayed, A. H.\n\n\n \n\n\n\n Signal Processing Magazine, IEEE, 37(3): 14-25. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Multitask paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{nassif2019multitask,\n\tauthor = {Nassif, Roula and Richard, Cédric and Chen, Jie and Sayed, Ali H.},\n\tdate-added = {2019-04-22 11:42:56 +0200},\n\tdate-modified = {2024-02-16 14:16:49 +0100},\n\tjournal = {Signal Processing Magazine, IEEE},\n\tkeywords = {sensor networks: distributed learning},\n\tnumber = {3},\n\tpages = {14-25},\n\ttitle = {Multitask learning over graphs: an approach for distributed, streaming machine learning},\n\turl_paper = {Articles/nassif2019multitask.pdf},\n\tvolume = {37},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Affine combination of diffusion strategies over networks.\n \n \n \n \n\n\n \n Jin, D.; Chen, J.; Richard, C.; and Sayed, A. H.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 68(1): 2087-2104. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Affine arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{jin2019affine,\n\tauthor = {Jin, Danqi and Chen, Jie and Richard, Cédric and Sayed, Ali H.},\n\tdate-added = {2019-04-22 11:40:35 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {sensor networks: distributed learning},\n\tnumber = {1},\n\tpages = {2087-2104},\n\ttitle = {Affine combination of diffusion strategies over networks},\n\turl_arxiv = {https://arxiv.org/abs/2002.03209},\n\tvolume = {68},\n\tyear = {2020}}\n\n
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\n  \n inproceedings\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n \n Online dominant generalized eigenvectors extraction via a randomized method.\n \n \n \n \n\n\n \n Cai, H.; Kaloorazi, M. F.; Chen, J.; Chen, W.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 28th European Conference on, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{cai2020online,\n\tauthor = {Cai, Haoyuan and Kaloorazi, Maboud F. and Chen, Jie and Chen, Wei and Richard, Cédric},\n\tbooktitle = {Signal Processing (EUSIPCO), 28th European Conference on},\n\tdate-added = {2021-01-09 18:33:43 +0100},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Online dominant generalized eigenvectors extraction via a randomized method},\n\turl_paper = {Articles/cai2020online.pdf},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Online kernel-based graph topology identification with partial-derivative-imposed sparsity.\n \n \n \n \n\n\n \n Moscu, M.; Borsoi, R.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 28th European Conference on, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 10 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@inproceedings{moscu2020online,\n\tauthor = {Moscu, Mircea and Borsoi, Ricardo and Richard, Cédric},\n\tbooktitle = {Signal Processing (EUSIPCO), 28th European Conference on},\n\tdate-added = {2020-03-04 09:42:59 +0100},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {distributed learning, graph signal processing},\n\ttitle = {Online kernel-based graph topology identification with partial-derivative-imposed sparsity},\n\turl_paper = {Articles/moscu2020online.pdf},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Online graph-based change point detection in multiband image sequences.\n \n \n \n \n\n\n \n Borsoi, R.; Richard, C.; Ferrari, A.; Chen, J.; and Bermudez, J. M.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 28th European Conference on, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 8 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{borsoi2020online,\n\tauthor = {Borsoi, Ricardo and Richard, Cédric and Ferrari, André and Chen, Jie and Bermudez, Jose-Carlos M.},\n\tbooktitle = {Signal Processing (EUSIPCO), 28th European Conference on},\n\tdate-added = {2020-03-04 09:40:32 +0100},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data processing},\n\ttitle = {Online graph-based change point detection in multiband image sequences},\n\turl_paper = {Articles/borsoi2020online.pdf},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n A regularization framework for learning over multitask graphs.\n \n \n \n \n\n\n \n Nassif, R.; Vlaski, S.; Richard, C.; and Sayed, A. H.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2020 IEEE International Conference on, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{nassif2019regularization,\n\tauthor = {Nassif, Roula and Vlaski, Stefan and Richard, Cédric and Sayed, Ali H.},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2020 IEEE International Conference on},\n\tdate-added = {2020-01-25 16:02:06 +0100},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {graph signal processing},\n\ttitle = {A regularization framework for learning over multitask graphs},\n\turl_paper = {Articles/nassif2018regularization.pdf},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Online graph topology inference with kernels for brain connectivity estimation.\n \n \n \n \n\n\n \n Moscu, M.; Borsoi, R.; and Richard, C.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2020 IEEE International Conference on, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{moscu2019online,\n\tauthor = {Moscu, Mircea and Borsoi, Ricardo and Richard, Cédric},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2020 IEEE International Conference on},\n\tdate-added = {2019-10-26 07:28:14 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {distributed learning},\n\ttitle = {Online graph topology inference with kernels for brain connectivity estimation},\n\turl_paper = {Articles/moscu2019online.pdf},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Non-parametric community change-points detection in streaming graph signals.\n \n \n \n \n\n\n \n Ferrari, A.; and Richard, C.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2020 IEEE International Conference on, 2020, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"Non-parametric paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 15 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@inproceedings{ferrari2019nonparametric,\n\tauthor = {Ferrari, André and Richard, Cédric},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2020 IEEE International Conference on, 2020},\n\tdate-added = {2019-10-18 10:22:29 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {distributed learning, graph signal processing},\n\ttitle = {Non-parametric community change-points detection in streaming graph signals},\n\turl_paper = {Articles/ferrari2019nonparametric.pdf},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Proximal multitask learning over distributed networks with jointly sparse structure.\n \n \n \n \n\n\n \n Jin, D.; Chen, J.; Richard, C.; and Chen, J.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2020 IEEE International Conference on, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"Proximal paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{jin2019proximal,\n\tauthor = {Jin, Danqi and Chen, Jie and Richard, Cédric and Chen, Jingdong},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2020 IEEE International Conference on},\n\tdate-added = {2019-10-18 10:20:05 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {distributed learning},\n\ttitle = {Proximal multitask learning over distributed networks with jointly sparse structure},\n\turl_paper = {Articles/jin2019proximal.pdf},\n\tyear = {2020}}\n\n
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\n \n\n \n \n \n \n \n \n Learning spectral-spatial prior via 3DDnCNN for hyperspectral image deconvolution.\n \n \n \n \n\n\n \n Wang, X.; Chen, J.; Richard, C.; and Brie, D.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2020 IEEE International Conference on, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"Learning paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{wang2019learning,\n\tauthor = {Wang, Xiuheng and Chen, Jie and Richard, Cédric and Brie, David},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2020 IEEE International Conference on},\n\tdate-added = {2019-04-22 11:57:35 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data processing},\n\ttitle = {Learning spectral-spatial prior via 3DDnCNN for hyperspectral image deconvolution},\n\turl_paper = {Articles/wang2019learning.pdf},\n\tyear = {2020}}\n\n
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\n  \n 2019\n \n \n (2)\n \n \n
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\n  \n article\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n \n Learning combination of graph filters for graph signal modeling.\n \n \n \n \n\n\n \n Hua, F.; Richard, C.; Chen, J.; Wang, H.; Borgnat, P.; and Goncalves, P.\n\n\n \n\n\n\n Signal Processing Letters, IEEE, 26(12): 1912-1916. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Learning paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{hua2019learning,\n\tauthor = {Hua, Fei and Richard, Cédric and Chen, Jie and Wang, Haiyan and Borgnat, Pierre and Goncalves, Paulo},\n\tdate-added = {2019-05-01 06:42:21 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing Letters, IEEE},\n\tkeywords = {graph signal processing},\n\tnumber = {12},\n\tpages = {1912-1916},\n\ttitle = {Learning combination of graph filters for graph signal modeling},\n\turl_paper = {Articles/hua2019learning.pdf},\n\tvolume = {26},\n\tyear = {2019}}\n\n
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\n \n\n \n \n \n \n \n \n A regularization framework for learning over multitask graphs.\n \n \n \n \n\n\n \n Nassif, R.; Vlaski, S.; Richard, C.; and Sayed, A. H.\n\n\n \n\n\n\n Signal Processing Letters, IEEE, 26(2): 297-301. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{nassif2018regularization,\n\tauthor = {Nassif, Roula and Vlaski, Stefan and Richard, Cédric and Sayed, Ali H.},\n\tdate-added = {2018-08-16 09:39:59 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing Letters, IEEE},\n\tkeywords = {graph signal processing},\n\tnumber = {2},\n\tpages = {297-301},\n\ttitle = {A regularization framework for learning over multitask graphs},\n\turl_paper = {Articles/nassif2018regularization.pdf},\n\tvolume = {26},\n\tyear = {2019}}\n\n
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\n \n\n \n \n \n \n \n \n A fast multiscale spatial regularization for sparse hyperspectral unmixing.\n \n \n \n \n\n\n \n Borsoi, R.; Imbiriba, T.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n IEEE Geoscience and Remote Sensing Letters, 16(4): 598-602. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"A code\n  \n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 9 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{borsoi2018fast,\n\tauthor = {Borsoi, Ricardo and Imbiriba, Tales and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tdate-added = {2018-08-16 09:33:28 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {IEEE Geoscience and Remote Sensing Letters},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {4},\n\tpages = {598-602},\n\ttitle = {A fast multiscale spatial regularization for sparse hyperspectral unmixing},\n\turl_code = {https://github.com/ricardoborsoi/MUA_SparseUnmixing},\n\turl_paper = {Articles/borsoi2018fast.pdf},\n\tvolume = {16},\n\tyear = {2019}}\n\n
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\n \n\n \n \n \n \n \n \n Online deconvolution for industrial hyperspectral imaging systems.\n \n \n \n \n\n\n \n Song, Y.; Djermoune, E.; Chen, J.; Richard, C.; and Brie, D.\n\n\n \n\n\n\n SIAM Journal on Imaging Sciences, 12(1): 54-86. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{song2018online,\n\tauthor = {Song, Yingying and Djermoune, El-Hadi and Chen, Jie and Richard, Cédric and Brie, David},\n\tdate-added = {2018-03-19 09:10:08 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {SIAM Journal on Imaging Sciences},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {1},\n\tpages = {54-86},\n\ttitle = {Online deconvolution for industrial hyperspectral imaging systems},\n\turl_paper = {Articles/song2018online.pdf},\n\tvolume = {12},\n\tyear = {2019}}\n\n
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\n \n\n \n \n \n \n \n \n On reducing the communication cost of the diffusion LMS algorithm.\n \n \n \n \n\n\n \n Harrane, I. E. K.; Flamary, R.; and Richard, C.\n\n\n \n\n\n\n Signal and Information Processing over Networks, IEEE Transactions on, 5(1): 100-112. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"On paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{harrane2017reducing,\n\tauthor = {Harrane, Ibrahim El Khalil and Flamary, Rémi and Richard, Cédric},\n\tdate-added = {2017-11-18 15:44:40 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal and Information Processing over Networks, IEEE Transactions on},\n\tkeywords = {sensor networks: distributed learning},\n\tnumber = {1},\n\tpages = {100-112},\n\ttitle = {On reducing the communication cost of the diffusion LMS algorithm},\n\turl_paper = {Articles/harrane2017reducing.pdf},\n\tvolume = {5},\n\tyear = {2019}}\n\n
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\n  \n inproceedings\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n \n Joint unmixing-deconvolution algorithms for hyperspectral images.\n \n \n \n \n\n\n \n Song, Y.; Djermoune, E.; Chen, J.; Richard, C.; and Brie, D.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 26th European Conference on, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"Joint paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{song2019joint,\n\tauthor = {Song, Yingying and Djermoune, El-Hadi and Chen, Jie and Richard, Cédric and Brie, David},\n\tbooktitle = {Signal Processing (EUSIPCO), 26th European Conference on},\n\tdate-added = {2019-10-26 06:39:38 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Joint unmixing-deconvolution algorithms for hyperspectral images},\n\turl_paper = {Articles/song2019joint.pdf},\n\tyear = {2019}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed change detection in streaming graph signals.\n \n \n \n \n\n\n \n Ferrari, A.; Richard, C.; and Verduci, L.\n\n\n \n\n\n\n In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019 IEEE International Workshop on, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 13 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{ferrari2019distributed,\n\tauthor = {Ferrari, André and Richard, Cédric and Verduci, Louis},\n\tbooktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019 IEEE International Workshop on},\n\tdate-added = {2019-09-19 12:08:42 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Distributed change detection in streaming graph signals},\n\turl_paper = {Articles/ferrari2019distributed.pdf},\n\tyear = {2019}}\n\n
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\n \n\n \n \n \n \n \n \n Non-destructive prediction of pork meat degradation using a stacked autoencoder classifier on hyperspectral images.\n \n \n \n \n\n\n \n Almeida, S. J. M. d.; Bermudez, J. M.; Chen, J.; Richard, C.; and Gallo, B.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 26th European Conference on, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"Non-destructive paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{almeida2019nondestructive,\n\tauthor = {Almeida, Sergio Jose Melo de and Bermudez, Jose-Carlos M. and Chen, Jie and Richard, Cédric and Gallo, Betty},\n\tbooktitle = {Signal Processing (EUSIPCO), 26th European Conference on},\n\tdate-added = {2019-04-22 11:59:01 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {machine learning},\n\ttitle = {Non-destructive prediction of pork meat degradation using a stacked autoencoder classifier on hyperspectral images},\n\turl_paper = {Articles/almeida2019nondestructive.pdf},\n\tyear = {2019}}\n\n
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\n \n\n \n \n \n \n \n \n Apprentissage distribué de la topologie d'un graphe à partir de signaux temporels sur graphe.\n \n \n \n \n\n\n \n Moscu, M.; Nassif, R.; Hua, F.; and Richard, C.\n\n\n \n\n\n\n In Actes du 27e Colloque GRETSI sur le Traitement du Signal et des Images, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"Apprentissage paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{moscu2019apprentissage,\n\tauthor = {Moscu, Mircea and Nassif, Roula and Hua, Fei and Richard, Cédric},\n\tbooktitle = {Actes du 27e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2019-04-22 11:54:15 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {graph signal processing},\n\ttitle = {Apprentissage distribué de la topologie d'un graphe à partir de signaux temporels sur graphe},\n\turl_paper = {Articles/moscu2019apprentissage.pdf},\n\tyear = {2019}}\n\n
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\n \n\n \n \n \n \n \n \n Séparation et déconvolution conjointes d'images hyperspectrales.\n \n \n \n \n\n\n \n Song, Y.; Djermoune, E.; Chen, J.; Richard, C.; and Brie, D.\n\n\n \n\n\n\n In Actes du 27e Colloque GRETSI sur le Traitement du Signal et des Images, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"Séparation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{song2019separation,\n\tauthor = {Song, Yingying and Djermoune, El-Hadi and Chen, Jie and Richard, Cédric and Brie, David},\n\tbooktitle = {Actes du 27e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2019-04-22 11:52:41 +0200},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Séparation et déconvolution conjointes d'images hyperspectrales},\n\turl_paper = {Articles/song2019separation.pdf},\n\tyear = {2019}}\n\n
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\n \n\n \n \n \n \n \n \n Learning causal networks topology from streaming graph signals.\n \n \n \n \n\n\n \n Moscu, M.; Nassif, R.; Hua, F.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 26th European Conference on, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"Learning paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{moscu2019distributed,\n\tauthor = {Moscu, Mircea and Nassif, Roula and Hua, Fei and Richard, Cédric},\n\tbooktitle = {Signal Processing (EUSIPCO), 26th European Conference on},\n\tdate-added = {2018-10-30 19:52:11 +0100},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {graph signal processing},\n\ttitle = {Learning causal networks topology from streaming graph signals},\n\turl_paper = {Articles/moscu2019distributed.pdf},\n\tyear = {2019}}\n\n
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\n \n\n \n \n \n \n \n \n Kernel based online change point detection.\n \n \n \n \n\n\n \n Bouchikhi, I.; Ferrari, A.; Richard, C.; Bourrier, A.; and Bernot, M.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 26th European Conference on, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"Kernel paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{bouchikhi2019kernel,\n\tauthor = {Bouchikhi, Ikram and Ferrari, André and Richard, Cédric and Bourrier, Anthony and Bernot, Marc},\n\tbooktitle = {Signal Processing (EUSIPCO), 26th European Conference on},\n\tdate-added = {2018-01-15 08:39:39 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {online learning},\n\ttitle = {Kernel based online change point detection},\n\turl_paper = {Articles/bouchikhi2019kernel.pdf},\n\tyear = {2019}}\n\n
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\n \n\n \n \n \n \n \n \n Model-driven online parameter adjustement for zero-attracting LMS.\n \n \n \n \n\n\n \n Jin, D.; Chen, J.; Richard, C.; and Chen, J.\n\n\n \n\n\n\n Signal Processing, 152: 373-383. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"Model-driven paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{jin2017model,\n\tauthor = {Jin, Danqi and Chen, Jie and Richard, Cédric and Chen, Jingdong},\n\tdate-added = {2017-09-11 09:09:23 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing},\n\tkeywords = {adaptive filtering with constraints},\n\tpages = {373-383},\n\ttitle = {Model-driven online parameter adjustement for zero-attracting LMS},\n\turl_paper = {Articles/jin2017model.pdf},\n\tvolume = {152},\n\tyear = {2018}}\n\n
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\n \n\n \n \n \n \n \n \n Decentralized online learning with kernels.\n \n \n \n \n\n\n \n Koppel, A.; Paternain, S.; Richard, C.; and Ribeiro, A.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 66(12): 3240-3255. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"Decentralized code\n  \n \n \n \"Decentralized paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 11 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{koppel2017decentralized2,\n\tauthor = {Koppel, Alec and Paternain, Santiago and Richard, Cédric and Ribeiro, Alejandro},\n\tdate-added = {2017-06-03 07:57:22 +0000},\n\tdate-modified = {2023-10-15 10:01:07 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {sensor networks: distributed learning},\n\tnumber = {12},\n\tpages = {3240-3255},\n\ttitle = {Decentralized online learning with kernels},\n\turl_code = {Matlab/koppel2017decentralized2.zip},\n\turl_paper = {Articles/koppel2017decentralized2.pdf},\n\tvolume = {66},\n\tyear = {2018}}\n\n
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\n \n\n \n \n \n \n \n \n Cooperative and Graph Signal Processing: Principles and Applications.\n \n \n \n \n\n\n \n Djuric, P. M.; and Richard, C.\n\n\n \n\n\n\n Academic Press, 2018.\n \n\n\n\n
\n\n\n\n \n \n \"Cooperative paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@book{cooperative2018djuric,\n\tauthor = {Djuric, Petar M. and Richard, Cédric},\n\tdate-added = {2018-03-30 07:56:37 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {graph signal processing},\n\tpublisher = {Academic Press},\n\ttitle = {Cooperative and Graph Signal Processing: Principles and Applications},\n\turl_paper = {https://www.elsevier.com/books/cooperative-and-graph-signal-processing/djuric/978-0-12-813677-5},\n\tyear = {2018}}\n\n
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\n \n\n \n \n \n \n \n .\n \n \n \n\n\n \n Chen, J.; Richard, C.; Ting, S. K.; and Sayed, A. H.\n\n\n \n\n\n\n Multitask learning over adaptive networks with grouping strategies. Djuric, P. M.; and Richard, C., editor(s). Academic Press, 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inbook{chen2018multitask,\n\tauthor = {Chen, Jie and Richard, Cédric and Ting, Shang Kee and Sayed, Ali H.},\n\tdate-added = {2018-02-01 10:49:35 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\teditor = {Djuric, Petar M. and Richard, Cédric},\n\tkeywords = {sensor networks: distributed learning},\n\tpublisher = {Academic Press},\n\ttitle = {Multitask learning over adaptive networks with grouping strategies},\n\tyear = {2018}}\n\n
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\n \n\n \n \n \n \n \n \n Non-parametric online change-point detection with kernel LMS by relative density ratio estimation.\n \n \n \n \n\n\n \n Bouchikhi, I.; Ferrari, A.; Richard, C.; Bourrier, A.; and Bernot, M.\n\n\n \n\n\n\n In Statistical Signal Processing Workshop (SSP), 2018 IEEE, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"Non-parametric paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{bouchikhi2018nonparametric,\n\tauthor = {Bouchikhi, Ikram and Ferrari, André and Richard, Cédric and Bourrier, Anthony and Bernot, Marc},\n\tbooktitle = {Statistical Signal Processing Workshop (SSP), 2018 IEEE},\n\tdate-added = {2018-10-30 19:54:48 +0100},\n\tdate-modified = {2023-10-15 10:21:54 +0200},\n\tkeywords = {change-point detection},\n\ttitle = {Non-parametric online change-point detection with kernel LMS by relative density ratio estimation},\n\turl_paper = {Articles/bouchikhi2018nonparametric.pdf},\n\tyear = {2018}}\n\n
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\n \n\n \n \n \n \n \n Quantification of multispectral photoacoustic images: unsupervised unmixing methods comparison.\n \n \n \n\n\n \n Dolet, A.; Ammanouil, R.; Grenier, T.; Richard, C.; Tortoli, P.; Vray, D.; and Varray, F.\n\n\n \n\n\n\n In Ultrasonics, 2018 IEEE International Symposium, 2018. \n \n\n\n\n
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@inproceedings{dolet2018quantification,\n\tauthor = {Dolet, Aneline and Ammanouil, Rita and Grenier, Thomas and Richard, Cédric and Tortoli, Piero and Vray, Didier and Varray, Francois},\n\tbooktitle = {Ultrasonics, 2018 IEEE International Symposium},\n\tdate-added = {2018-05-01 16:20:02 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Quantification of multispectral photoacoustic images: unsupervised unmixing methods comparison},\n\tyear = {2018}}\n\n
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\n \n\n \n \n \n \n \n \n Decentralized clustering for node-variant graph filtering with graph diffusion LMS.\n \n \n \n \n\n\n \n Hua, F.; Nassif, R.; Richard, C.; Wang, H.; and Sayed, A. H.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2018 Fifty Second Asilomar Conference on, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"Decentralized paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{hua2018decentralized,\n\tauthor = {Hua, Fei and Nassif, Roula and Richard, Cédric and Wang, Haiyan and Sayed, Ali H.},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2018 Fifty Second Asilomar Conference on},\n\tdate-added = {2018-05-01 16:15:58 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {graph signal processing},\n\ttitle = {Decentralized clustering for node-variant graph filtering with graph diffusion LMS},\n\turl_paper = {Articles/hua2018decentralized.pdf},\n\tyear = {2018}}\n\n
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\n \n\n \n \n \n \n \n Random matrix theory for diffusion LMS analysis.\n \n \n \n\n\n \n Harrane, I. E. K.; Flamary, R.; Richard, C.; and Couillet, R.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2018 Fifty Second Asilomar Conference on, 2018. \n \n\n\n\n
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@inproceedings{harrane2018random,\n\tauthor = {Harrane, Ibrahim El Khalil and Flamary, Rémi and Richard, Cédric and Couillet, Romain},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2018 Fifty Second Asilomar Conference on},\n\tdate-added = {2018-03-19 09:32:08 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Random matrix theory for diffusion LMS analysis},\n\tyear = {2018}}\n\n
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\n \n\n \n \n \n \n \n \n A preconditioned graph diffusion LMS for adaptive graph signal processing.\n \n \n \n \n\n\n \n Hua, F.; Nassif, R.; Richard, C.; Wang, H.; and Sayed, A. H.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 25th European Conference on, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{hua2018preconditioned,\n\tauthor = {Hua, Fei and Nassif, Roula and Richard, Cédric and Wang, Haiyan and Sayed, Ali H.},\n\tbooktitle = {Signal Processing (EUSIPCO), 25th European Conference on},\n\tdate-added = {2018-02-28 07:29:58 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {graph signal processing},\n\ttitle = {A preconditioned graph diffusion LMS for adaptive graph signal processing},\n\turl_paper = {Articles/hua2018preconditioned.pdf},\n\tyear = {2018}}\n\n
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\n \n\n \n \n \n \n \n \n Decentralized online nonparametric learning.\n \n \n \n \n\n\n \n Koppel, A.; Paternain, S.; Richard, C.; and Ribeiro, A.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2018 Fifty Second Asilomar Conference on, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"Decentralized paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{koppel2018decentralized,\n\tauthor = {Koppel, Alec and Paternain, Santiago and Richard, Cédric and Ribeiro, Alejandro},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2018 Fifty Second Asilomar Conference on},\n\tdate-added = {2017-11-18 16:06:10 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Decentralized online nonparametric learning},\n\turl_paper = {Articles/koppel2018decentralized.pdf},\n\tyear = {2018}}\n\n
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\n \n\n \n \n \n \n \n \n Ada-pt: an adaptive parameter tuning strategy based on weighted Stein unbiased risk estimator.\n \n \n \n \n\n\n \n Ammanouil, R.; Ferrari, A.; and Richard, C.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2018 IEEE International Conference on, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"Ada-pt: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{ammanouil2017ada,\n\tauthor = {Ammanouil, Rita and Ferrari, André and Richard, Cédric},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2018 IEEE International Conference on},\n\tdate-added = {2017-11-18 15:57:17 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Ada-pt: an adaptive parameter tuning strategy based on weighted Stein unbiased risk estimator},\n\turl_paper = {Articles/ammanouil2017ada.pdf},\n\tyear = {2018}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed diffusion adaptation over graph signals.\n \n \n \n \n\n\n \n Nassif, R.; Richard, C.; Chen, J.; and Sayed, A. H.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2018 IEEE International Conference on, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{nassif2018distributed,\n\tauthor = {Nassif, Roula and Richard, Cédric and Chen, Jie and Sayed, Ali H.},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2018 IEEE International Conference on},\n\tdate-added = {2017-11-18 15:52:47 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Distributed diffusion adaptation over graph signals},\n\turl_paper = {Articles/nassif2018distributed.pdf},\n\tyear = {2018}}\n\n
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\n \n\n \n \n \n \n \n \n Adaptive parameters adjustment for group reweighted zero-attracting LMS.\n \n \n \n \n\n\n \n Jin, D.; Chen, J.; Richard, C.; and Chen, J.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2018 IEEE International Conference on, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"Adaptive paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{jin2017adaptive,\n\tauthor = {Jin, Danqi and Chen, Jie and Richard, Cédric and Chen, Jingdong},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2018 IEEE International Conference on},\n\tdate-added = {2017-10-16 15:58:52 +0000},\n\tdate-modified = {2023-10-15 10:30:48 +0200},\n\tkeywords = {adaptive filtering with constraints},\n\ttitle = {Adaptive parameters adjustment for group reweighted zero-attracting LMS},\n\turl_paper = {Articles/jin2017adaptive.pdf},\n\tyear = {2018}}\n\n
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\n \n\n \n \n \n \n \n \n Diffusion LMS for multitask problems with local linear equality constraints.\n \n \n \n \n\n\n \n Nassif, R.; Richard, C.; Ferrari, A.; and Sayed, A. H.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 65(19): 4979 - 4993. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"Diffusion paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{nassif2016diffusion1,\n\tauthor = {Nassif, Roula and Richard, Cédric and Ferrari, André and Sayed, Ali H.},\n\tdate-added = {2016-10-11 07:00:22 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {sensor networks: distributed learning},\n\tnumber = {19},\n\tpages = {4979 - 4993},\n\ttitle = {Diffusion LMS for multitask problems with local linear equality constraints},\n\turl_paper = {Articles/nassif2016diffusion1.pdf},\n\tvolume = {65},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n Multitask diffusion adaptation over networks with common latent representations.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Sayed, A. H.\n\n\n \n\n\n\n Signal Processing, IEEE Journal of Selected Topics in, 11(3): 563-579. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"Multitask paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{chen2016multitask,\n\tauthor = {Chen, Jie and Richard, Cédric and Sayed, Ali H.},\n\tdate-added = {2016-06-17 09:15:08 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Journal of Selected Topics in},\n\tkeywords = {sensor networks: distributed learning},\n\tnumber = {3},\n\tpages = {563-579},\n\ttitle = {Multitask diffusion adaptation over networks with common latent representations},\n\turl_paper = {Articles/chen2016multitask.pdf},\n\tvolume = {11},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n Nonlinear unmixing of hyperspectral data with vector-valued kernel functions.\n \n \n \n \n\n\n \n Ammanouil, R.; Ferrari, A.; Richard, C.; and Mathieu, S.\n\n\n \n\n\n\n Image Processing, IEEE Transactions on, 26(1): 340-354. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"Nonlinear code\n  \n \n \n \"Nonlinear paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{ammanouil2016nonlinear,\n\tauthor = {Ammanouil, Rita and Ferrari, André and Richard, Cédric and Mathieu, Sandrine},\n\tdate-added = {2016-05-11 15:20:02 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Image Processing, IEEE Transactions on},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {1},\n\tpages = {340-354},\n\ttitle = {Nonlinear unmixing of hyperspectral data with vector-valued kernel functions},\n\turl_code = {https://github.com/rammanouil/NonlinearUnmixingVector},\n\turl_paper = {Articles/ammanouil2016nonlinear.pdf},\n\tvolume = {26},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n Band selection for nonlinear unmixing of hyperspectral images as maximal click problem.\n \n \n \n \n\n\n \n Imbiriba, T.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n Image Processing, IEEE Transactions on, 26(5): 2179-2191. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"Band code\n  \n \n \n \"Band paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{imbiriba2016band,\n\tauthor = {Imbiriba, Tales and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tdate-added = {2016-02-29 21:15:51 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Image Processing, IEEE Transactions on},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {5},\n\tpages = {2179-2191},\n\ttitle = {Band selection for nonlinear unmixing of hyperspectral images as maximal click problem},\n\turl_code = {https://github.com/talesim/clique_BS},\n\turl_paper = {Articles/imbiriba2016band.pdf},\n\tvolume = {26},\n\tyear = {2017}}\n\n
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\n  \n inbook\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n .\n \n \n \n \n\n\n \n Scardapane, S.; Chen, J.; and Richard, C.\n\n\n \n\n\n\n Adaptation and learning over networks for nonlinear system modeling. Comminiello, D.; and Principe, J. C., editor(s). Elsevier Publishing, 2017.\n \n\n\n\n
\n\n\n\n \n \n \"Adaptation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inbook{scardapane2017adaptation,\n\tauthor = {Scardapane, Simone and Chen, Jie and Richard, Cédric},\n\tdate-added = {2017-04-28 13:19:42 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\teditor = {Comminiello, D. and Principe, J. C.},\n\tkeywords = {kernel adaptive filtering},\n\tpublisher = {Elsevier Publishing},\n\ttitle = {Adaptation and learning over networks for nonlinear system modeling},\n\turl_paper = {Articles/scardapane2017adaptation.pdf},\n\tyear = {2017}}\n\n
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\n  \n inproceedings\n \n \n (11)\n \n \n
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\n \n\n \n \n \n \n \n \n A graph diffusion LMS strategy for adaptive graph signal processing.\n \n \n \n \n\n\n \n Nassif, R.; Richard, C.; Chen, J.; and Sayed, A. H.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2017 Fiftyth Oneth Asilomar Conference on, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{nassif2017graph,\n\tauthor = {Nassif, Roula and Richard, Cédric and Chen, Jie and Sayed, Ali H.},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2017 Fiftyth Oneth Asilomar Conference on},\n\tdate-added = {2017-11-22 18:16:20 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {A graph diffusion LMS strategy for adaptive graph signal processing},\n\turl_paper = {Articles/nassif2017graph.pdf},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n Decentralized efficient nonparametric stochastic optimization.\n \n \n \n \n\n\n \n Koppel, A.; Paternain, S.; Richard, C.; and Ribeiro, A.\n\n\n \n\n\n\n In Signal and Information Processing (GlobalSIP), 2017 IEEE Global Conference on, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Decentralized paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{koppel2017decentralized,\n\tauthor = {Koppel, Alec and Paternain, Santiago and Richard, Cédric and Ribeiro, Alejandro},\n\tbooktitle = {Signal and Information Processing (GlobalSIP), 2017 IEEE Global Conference on},\n\tdate-added = {2017-10-11 01:06:00 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Decentralized efficient nonparametric stochastic optimization},\n\turl_paper = {Articles/koppel2017decentralized.pdf},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n Unmixing of multispectral photoacoustic images.\n \n \n \n \n\n\n \n Dolet, A.; Ammanouil, R.; Varray, F.; Liu, Y.; Yuan, Z.; Tortoli, P.; Ferrari, A.; Richard, C.; and Vray, D.\n\n\n \n\n\n\n In Actes du 26e Colloque GRETSI sur le Traitement du Signal et des Images, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Unmixing paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{dolet2017unmixing,\n\tauthor = {Dolet, Aneline and Ammanouil, Rita and Varray, Francois and Liu, Yubin and Yuan, Zhen and Tortoli, Piero and Ferrari, André and Richard, Cédric and Vray, Didier},\n\tbooktitle = {Actes du 26e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2017-09-11 09:16:53 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Unmixing of multispectral photoacoustic images},\n\turl_paper = {Articles/dolet2017unmixing.pdf},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n An adaptive distributed asynchronous algorithm with application to target localization.\n \n \n \n \n\n\n \n Mourya, R.; Bianchi, P.; Salim, A.; and Richard, C.\n\n\n \n\n\n\n In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017 IEEE International Workshop on, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"An paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mourya2017adaptive,\n\tauthor = {Mourya, Rahul and Bianchi, Pascal and Salim, Adil and Richard, Cédric},\n\tbooktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017 IEEE International Workshop on},\n\tdate-added = {2017-08-14 10:49:15 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {An adaptive distributed asynchronous algorithm with application to target localization},\n\turl_paper = {Articles/mourya2017adaptive.pdf},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n Penalty-based multitask estimation with non-local linear equality constraints.\n \n \n \n \n\n\n \n Hua, F.; Nassif, R.; Richard, C.; and Wang, H.\n\n\n \n\n\n\n In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017 IEEE International Workshop on, pages 433-437, Curacao, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Penalty-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{hua2017penalty,\n\taddress = {Curacao},\n\tauthor = {Hua, Fei and Nassif, Roula and Richard, Cédric and Wang, Haiyan},\n\tbooktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017 IEEE International Workshop on},\n\tdate-added = {2017-08-14 10:40:52 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\tpages = {433-437},\n\ttitle = {Penalty-based multitask estimation with non-local linear equality constraints},\n\turl_paper = {Articles/hua2017penalty.pdf},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n Filtrage LMS sur graphe. Algorithme et analyse.\n \n \n \n \n\n\n \n Nassif, R.; Richard, C.; Chen, J.; Couillet, R.; and Borgnat, P.\n\n\n \n\n\n\n In Actes du 26e Colloque GRETSI sur le Traitement du Signal et des Images, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Filtrage paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{nassif2017filtrage,\n\tauthor = {Nassif, Roula and Richard, Cédric and Chen, Jie and Couillet, Romain and Borgnat, Pierre},\n\tbooktitle = {Actes du 26e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2017-04-30 16:05:21 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {graph signal processing},\n\ttitle = {Filtrage LMS sur graphe. Algorithme et analyse},\n\turl_paper = {Articles/nassif2017filtrage.pdf},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n Déconvolution en ligne d’images hyperspectrales pour les imageurs de type pushbroom.\n \n \n \n \n\n\n \n Song, Y.; Djermoune, E.; Chen, J.; Richard, C.; and Brie, D.\n\n\n \n\n\n\n In Actes du 26e Colloque GRETSI sur le Traitement du Signal et des Images, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Déconvolution paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{song2017deconvolution,\n\tauthor = {Song, Yingying and Djermoune, El-Hadi and Chen, Jie and Richard, Cédric and Brie, David},\n\tbooktitle = {Actes du 26e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2017-04-30 15:56:30 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Déconvolution en ligne d’images hyperspectrales pour les imageurs de type pushbroom},\n\turl_paper = {Articles/song2017deconvolution.pdf},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n Penalty-based multitask distributed adaptation over networks with constraints.\n \n \n \n \n\n\n \n Hua, F.; Nassif, R.; Richard, C.; Wang, H.; and Huang, J.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2017 Fifty Oneth Asilomar Conference on, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Penalty-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{hua2017penalty2,\n\tauthor = {Hua, Fei and Nassif, Roula and Richard, Cédric and Wang, Haiyan and Huang, Jianguo},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2017 Fifty Oneth Asilomar Conference on},\n\tdate-added = {2017-04-30 15:49:21 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Penalty-based multitask distributed adaptation over networks with constraints},\n\turl_paper = {Articles/hua2017penalty2.pdf},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n A design methodology for the Gaussian KLMS algorithm.\n \n \n \n \n\n\n \n Pedrosa, P.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 25th European Conference on, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{pedrosa2017design,\n\tauthor = {Pedrosa, Pedro and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tbooktitle = {Signal Processing (EUSIPCO), 25th European Conference on},\n\tdate-added = {2017-04-30 15:45:35 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\ttitle = {A design methodology for the Gaussian KLMS algorithm},\n\turl_paper = {Articles/pedrosa2017design.pdf},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed approach for deblurring large images with shift-variant blur.\n \n \n \n \n\n\n \n Mourya, R.; Ferrari, A.; Flamary, R.; Bianchi, P.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 25th European Conference on, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mourya2017distributed,\n\tauthor = {Mourya, Rahul and Ferrari, André and Flamary, Rémi and Bianchi, Pascal and Richard, Cédric},\n\tbooktitle = {Signal Processing (EUSIPCO), 25th European Conference on},\n\tdate-added = {2017-04-30 15:42:36 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Distributed approach for deblurring large images with shift-variant blur},\n\turl_paper = {Articles/mourya2017distributed.pdf},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n Online deconvolution for pushbroom hyperspectral imaging systems.\n \n \n \n \n\n\n \n Song, Y.; Djermoune, E.; Chen, J.; Richard, C.; and Brie, D.\n\n\n \n\n\n\n In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017 IEEE International Workshop on, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{song2017online,\n\tauthor = {Song, Yingying and Djermoune, El-Hadi and Chen, Jie and Richard, Cédric and Brie, David},\n\tbooktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017 IEEE International Workshop on},\n\tdate-added = {2017-04-30 15:36:51 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Online deconvolution for pushbroom hyperspectral imaging systems},\n\turl_paper = {Articles/song2017online.pdf},\n\tyear = {2017}}\n\n
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\n \n\n \n \n \n \n \n \n Transient performance analysis of zero-attracting LMS.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; Song, Y.; and Brie, D.\n\n\n \n\n\n\n Signal Processing Letters, IEEE, 23(12): 1786-1790. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"Transient code\n  \n \n \n \"Transient paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{chen2016transient,\n\tauthor = {Chen, Jie and Richard, Cédric and Song, Yingying and Brie, David},\n\tdate-added = {2016-08-24 17:38:31 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing Letters, IEEE},\n\tkeywords = {adaptive filtering with constraints},\n\tnumber = {12},\n\tpages = {1786-1790},\n\ttitle = {Transient performance analysis of zero-attracting LMS},\n\turl_code = {Matlab/chen2016transient.zip},\n\turl_paper = {http://arxiv.org/pdf/1608.07046v1.pdf},\n\tvolume = {23},\n\tyear = {2016}}\n\n
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\n \n\n \n \n \n \n \n \n Proximal multitask learning over networks with sparsity-inducing coregularization.\n \n \n \n \n\n\n \n Nassif, R.; Richard, C.; Ferrari, A.; and Sayed, A. H.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 64(23): 6329-6344. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"Proximal paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{nassif2015proximal,\n\tauthor = {Nassif, Roula and Richard, Cédric and Ferrari, André and Sayed, Ali H.},\n\tdate-added = {2015-09-04 09:56:18 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {sensor networks: distributed learning},\n\tnumber = {23},\n\tpages = {6329-6344},\n\ttitle = {Proximal multitask learning over networks with sparsity-inducing coregularization},\n\turl_paper = {Articles/nassif2015proximal.pdf},\n\tvolume = {64},\n\tyear = {2016}}\n\n
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\n \n\n \n \n \n \n \n \n Reweighted nonnegative least-mean-square algorithm.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Bermudez, J. M.\n\n\n \n\n\n\n Signal processing, 128: 131-141. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"Reweighted code\n  \n \n \n \"Reweighted paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{chen2015reweighted,\n\tauthor = {Chen, Jie and Richard, Cédric and Bermudez, Jose-Carlos M.},\n\tdate-added = {2015-08-23 20:13:09 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal processing},\n\tkeywords = {adaptive filtering with constraints},\n\tpages = {131-141},\n\ttitle = {Reweighted nonnegative least-mean-square algorithm},\n\turl_code = {Matlab/chen2015reweighted.zip},\n\turl_paper = {Articles/chen2015reweighted.pdf},\n\tvolume = {128},\n\tyear = {2016}}\n\n
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\n \n\n \n \n \n \n \n \n Nonparametric detection of nonlinearly mixed pixels and endmember estimation in hyperspectral images.\n \n \n \n \n\n\n \n Imbiriba, T.; Bermudez, J. M.; Richard, C.; and Tourneret, J.\n\n\n \n\n\n\n Image Processing, IEEE Transactions on, 25(3): 1136-1151. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"Nonparametric code\n  \n \n \n \"Nonparametric paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{imbiriba2016nonparametric,\n\tauthor = {Imbiriba, Tales and Bermudez, Jose-Carlos M. and Richard, Cédric and Tourneret, Jean-Yves},\n\tdate-added = {2015-03-16 17:27:58 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Image Processing, IEEE Transactions on},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {3},\n\tpages = {1136-1151},\n\ttitle = {Nonparametric detection of nonlinearly mixed pixels and endmember estimation in hyperspectral images},\n\turl_code = {Matlab/imbiriba2015nonparametric.zip},\n\turl_paper = {Articles/imbiriba2015nonparametric.pdf},\n\tvolume = {25},\n\tyear = {2016}}\n\n
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\n \n\n \n \n \n \n \n \n Estimating the intrinsic dimension of hyperspectral images using a noise-whitened eigengap approach.\n \n \n \n \n\n\n \n Halimi, A.; Honeine, P.; Kharouf, M.; Richard, C.; and Tourneret, J.\n\n\n \n\n\n\n Geoscience and Remote Sensing, IEEE Transactions on, 54(7): 3811-3821. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"Estimating code\n  \n \n \n \"Estimating paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{halimi2015estimating,\n\tauthor = {Halimi, Abderrahim and Honeine, Paul and Kharouf, Malika and Richard, Cédric and Tourneret, Jean-Yves},\n\tdate-added = {2015-01-22 10:21:54 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Geoscience and Remote Sensing, IEEE Transactions on},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {7},\n\tpages = {3811-3821},\n\ttitle = {Estimating the intrinsic dimension of hyperspectral images using a noise-whitened eigengap approach},\n\turl_code = {Matlab/halimi2015estimating.zip},\n\turl_paper = {http://arxiv.org/abs/1501.05552},\n\tvolume = {54},\n\tyear = {2016}}\n\n
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\n \n\n \n \n \n \n \n \n Multitask diffusion adaptation over asynchronous networks.\n \n \n \n \n\n\n \n Nassif, R.; Richard, C.; Ferrari, A.; and Sayed, A. H.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 64(11): 2835-2850. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"Multitask paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{nassif2015multitask1,\n\tauthor = {Nassif, Roula and Richard, Cédric and Ferrari, André and Sayed, Ali H.},\n\tdate-added = {2014-12-04 21:10:36 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {sensor networks: distributed learning},\n\tnumber = {11},\n\tpages = {2835-2850},\n\ttitle = {Multitask diffusion adaptation over asynchronous networks},\n\turl_paper = {http://arxiv.org/abs/1412.1798},\n\tvolume = {64},\n\tyear = {2016}}\n\n
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\n \n\n \n \n \n \n \n \n Stochastic behavior of the nonnegative least mean fourth algorithm for stationary gaussian inputs and slow learning.\n \n \n \n \n\n\n \n Ni, J.; Yang, J.; Chen, J.; Richard, C.; and Bermudez, J. M.\n\n\n \n\n\n\n Signal Processing, 128: 18-27. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"Stochastic paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{ni2015stochastic,\n\tauthor = {Ni, Jingen and Yang, Jian and Chen, Jie and Richard, Cédric and Bermudez, Jose-Carlos M.},\n\tdate-added = {2014-10-23 12:28:37 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing},\n\tkeywords = {adaptive filtering with constraints},\n\tpages = {18-27},\n\ttitle = {Stochastic behavior of the nonnegative least mean fourth algorithm for stationary gaussian inputs and slow learning},\n\turl_paper = {Articles/ni2015stochastic.pdf},\n\tvolume = {128},\n\tyear = {2016}}\n\n
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\n  \n inproceedings\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n \n Robust nonlinear unmixing of hyperspectral images with a linear-mixture/nonlinear-fluctuation model.\n \n \n \n \n\n\n \n Chen, J.; and Richard, C.\n\n\n \n\n\n\n In Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"Robust paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2016robust,\n\tauthor = {Chen, Jie and Richard, Cédric},\n\tbooktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International},\n\tdate-added = {2016-08-10 09:21:12 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Robust nonlinear unmixing of hyperspectral images with a linear-mixture/nonlinear-fluctuation model},\n\turl_paper = {Articles/chen2016robust.pdf},\n\tyear = {2016}}\n\n
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\n \n\n \n \n \n \n \n \n Doubly compressed diffusion LMS over adaptive networks.\n \n \n \n \n\n\n \n Harrane, I. E. K.; Flamary, R.; and Richard, C.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2016 Fiftyth Asilomar Conference on, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"Doubly code\n  \n \n \n \"Doubly paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 9 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{harrane2016doubly,\n\tauthor = {Harrane, Ibrahim El Khalil and Flamary, Rémi and Richard, Cédric},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2016 Fiftyth Asilomar Conference on},\n\tdate-added = {2016-06-18 08:38:21 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Doubly compressed diffusion LMS over adaptive networks},\n\turl_code = {Matlab/harrane2016doubly.zip},\n\turl_paper = {Articles/harrane2016doubly.pdf},\n\tyear = {2016}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed learning over multitask networks with linearly related tasks.\n \n \n \n \n\n\n \n Nassif, R.; Richard, C.; Ferrari, A.; and Sayed, A. H.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2016 Fiftyth Asilomar Conference on, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{nassif2016distributed,\n\tauthor = {Nassif, Roula and Richard, Cédric and Ferrari, André and Sayed, Ali H.},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2016 Fiftyth Asilomar Conference on},\n\tdate-added = {2016-06-18 08:35:47 +0000},\n\tdate-modified = {2022-04-07 16:49:07 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Distributed learning over multitask networks with linearly related tasks},\n\turl_paper = {Articles/nassif2016distributed.pdf},\n\tyear = {2016}}\n\n
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\n \n\n \n \n \n \n \n \n Toward privacy-preserving diffusion strategies for adaptation and learning over networks.\n \n \n \n \n\n\n \n Harrane, I. E. K.; Flamary, R.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 24th European Conference on, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"Toward paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{harrane2016toward,\n\tauthor = {Harrane, Ibrahim El Khalil and Flamary, Rémi and Richard, Cédric},\n\tbooktitle = {Signal Processing (EUSIPCO), 24th European Conference on},\n\tdate-added = {2016-02-28 20:39:04 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Toward privacy-preserving diffusion strategies for adaptation and learning over networks},\n\turl_paper = {Articles/harrane2016toward.pdf},\n\tyear = {2016}}\n\n
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\n \n\n \n \n \n \n \n \n Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions.\n \n \n \n \n\n\n \n Ammanouil, R.; Ferrari, A.; Richard, C.; and Tourneret, J.\n\n\n \n\n\n\n In Statistical Signal Processing Workshop (SSP), 2016 IEEE, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"Spatial paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{ammanouil2016spatial,\n\tauthor = {Ammanouil, Rita and Ferrari, André and Richard, Cédric and Tourneret, Jean-Yves},\n\tbooktitle = {Statistical Signal Processing Workshop (SSP), 2016 IEEE},\n\tdate-added = {2016-02-28 20:34:05 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions},\n\turl_paper = {ammanouil2016spatial.pdf},\n\tyear = {2016}}\n\n
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\n \n\n \n \n \n \n \n \n Unsupervised neighbor dependent nonlinear unmixing.\n \n \n \n \n\n\n \n Ammanouil, R.; Ferrari, A.; and Richard, C.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"Unsupervised paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{ammanouil2016unsupervised,\n\tauthor = {Ammanouil, Rita and Ferrari, André and Richard, Cédric},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on},\n\tdate-added = {2015-10-02 13:54:31 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Unsupervised neighbor dependent nonlinear unmixing},\n\turl_paper = {Articles/ammanouil2016unsupervised.pdf},\n\tyear = {2016}}\n\n
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\n \n\n \n \n \n \n \n \n Group diffusion LMS.\n \n \n \n \n\n\n \n Chen, J.; Ting, S. K.; Richard, C.; and Sayed, A. H.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"Group paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2016group,\n\tauthor = {Chen, Jie and Ting, Shang Kee and Richard, Cédric and Sayed, Ali H.},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on},\n\tdate-added = {2015-09-20 15:19:48 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Group diffusion LMS},\n\turl_paper = {Articles/chen2016group.pdf},\n\tyear = {2016}}\n\n
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\n \n\n \n \n \n \n \n \n Diffusion LMS over multitask networks.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Sayed, A. H.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 63(11): 2733-2748. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"Diffusion paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{chen2015diffusion,\n\tauthor = {Chen, Jie and Richard, Cédric and Sayed, Ali H.},\n\tdate-added = {2014-04-24 08:44:00 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {sensor networks: distributed learning},\n\tnumber = {11},\n\tpages = {2733-2748},\n\ttitle = {Diffusion LMS over multitask networks},\n\turl_paper = {Articles/chen2015diffusion.pdf},\n\tvolume = {63},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n \n .\n \n \n \n \n\n\n \n Bermudez, J. M.; Honeine, P.; Tourneret, J.; and Richard, C.\n\n\n \n\n\n\n Kernel-based nonlinear signal processing, pages 1-23. Nascimento, V. H., editor(s). CRC Press, 2015.\n \n\n\n\n
\n\n\n\n \n \n \"Kernel-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inbook{bermudez2015kernel,\n\tauthor = {Bermudez, Jose-Carlos M. and Honeine, Paul and Tourneret, Jean-Yves and Richard, Cédric},\n\tdate-added = {2015-01-11 11:24:24 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\teditor = {Nascimento, Vitor H.},\n\tjournal = {CRC},\n\tkeywords = {kernel adaptive filtering},\n\tpages = {1-23},\n\tpublisher = {CRC Press},\n\ttitle = {Kernel-based nonlinear signal processing},\n\turl_paper = {Articles/bermudez2015kernel.pdf},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n Kernel variational approach for target tracking in a wireless sensor network.\n \n \n \n\n\n \n Snoussi, H.; Honeine, P.; and Richard, C.\n\n\n \n\n\n\n Regularization and bayesian methods for inverse problems in signal and image processing. Giovannelli, J.; and Idier, J., editor(s). Wiley, 2015.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inbook{snoussi2015kernel,\n\tauthor = {Snoussi, Hichem and Honeine, Paul and Richard, Cédric},\n\tchapter = {Kernel variational approach for target tracking in a wireless sensor network},\n\tdate-added = {2014-01-06 07:54:41 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\teditor = {Giovannelli, Jean-François and Idier, Jérôme},\n\tkeywords = {sensor networks: variational filtering},\n\tnumber = {10},\n\tpublisher = {Wiley},\n\ttitle = {Regularization and bayesian methods for inverse problems in signal and image processing},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n \n Diffusion adaptation over networks with kernel least-mean-square.\n \n \n \n \n\n\n \n Gao, W.; Chen, J.; Richard, C.; and Huang, J.\n\n\n \n\n\n\n In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015 IEEE International Workshop on, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"Diffusion paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{gao2015diffusion,\n\tauthor = {Gao, Wei and Chen, Jie and Richard, Cédric and Huang, Jianguo},\n\tbooktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015 IEEE International Workshop on},\n\tdate-added = {2015-05-31 17:59:43 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Diffusion adaptation over networks with kernel least-mean-square},\n\turl_paper = {Articles/gao2015diffusion.pdf},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n \n Modèle non-linéaire et semi-paramétrique pour le démélange non-supervisé d'images hyperspectrales.\n \n \n \n \n\n\n \n Ammanouil, R.; Ferrari, A.; and Richard, C.\n\n\n \n\n\n\n In Actes du 25e Colloque GRETSI sur le Traitement du Signal et des Images, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"Modèle paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{ammanouil2015modele,\n\tauthor = {Ammanouil, Rita and Ferrari, André and Richard, Cédric},\n\tbooktitle = {Actes du 25e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2015-03-29 10:59:25 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Modèle non-linéaire et semi-paramétrique pour le démélange non-supervisé d'images hyperspectrales},\n\turl_paper = {Articles/ammanouil2015modele.pdf},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n \n Estimation distribuée sur les réseaux multitâches en présence d'échanges d'informations bruitées.\n \n \n \n \n\n\n \n Nassif, R.; Ferrari, A.; and Richard, C.\n\n\n \n\n\n\n In Actes du 25e Colloque GRETSI sur le Traitement du Signal et des Images, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"Estimation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{nassif2015estimation,\n\tauthor = {Nassif, Roula and Ferrari, André and Richard, Cédric},\n\tbooktitle = {Actes du 25e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2015-03-20 23:07:17 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Estimation distribuée sur les réseaux multitâches en présence d'échanges d'informations bruitées},\n\turl_paper = {Articles/nassif2015estimation.pdf},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n \n Estimation de la dimension intrinsèque des images hyperspectrales à l'aide d'un modèle à variances isolées.\n \n \n \n \n\n\n \n Halimi, A.; Honeine, P.; Kharouf, M.; Richard, C.; and Tourneret, J.\n\n\n \n\n\n\n In Actes du 25e Colloque GRETSI sur le Traitement du Signal et des Images, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"Estimation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{halimi2015estimation,\n\tauthor = {Halimi, Abderrahim and Honeine, Paul and Kharouf, Malika and Richard, Cédric and Tourneret, Jean-Yves},\n\tbooktitle = {Actes du 25e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2015-03-19 11:52:40 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Estimation de la dimension intrinsèque des images hyperspectrales à l'aide d'un modèle à variances isolées},\n\turl_paper = {Articles/halimi2015estimation.pdf},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n \n Band selection in RKHS for fast nonlinear unmixing of hyperspectral images.\n \n \n \n \n\n\n \n Imbiriba, T.; Bermudez, J. M.; Richard, C.; and Tourneret, J.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 23rd European Conference on, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"Band paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{imbiriba2015band,\n\tauthor = {Imbiriba, Tales and Bermudez, Jose-Carlos M. and Richard, Cédric and Tourneret, Jean-Yves},\n\tbooktitle = {Signal Processing (EUSIPCO), 23rd European Conference on},\n\tdate-added = {2015-03-03 12:55:31 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Band selection in RKHS for fast nonlinear unmixing of hyperspectral images},\n\turl_paper = {http://arxiv.org/abs/1503.02090},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n \n Hyperspectral data unmixing with graph-based regularization.\n \n \n \n \n\n\n \n Ammanouil, R.; Ferrari, A.; and Richard, C.\n\n\n \n\n\n\n In Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015 7th Workshop on, pages 1-4, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"Hyperspectral paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{ammanouil2015hyperspectral,\n\tauthor = {Ammanouil, Rita and Ferrari, André and Richard, Cédric},\n\tbooktitle = {Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015 7th Workshop on},\n\tdate-added = {2015-02-03 14:50:36 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\tpages = {1-4},\n\ttitle = {Hyperspectral data unmixing with graph-based regularization},\n\turl_paper = {Articles/ammanouil2015hyperspectral.pdf},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n \n A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel Hilbert spaces.\n \n \n \n \n\n\n \n Takizawa, M.; Yukawa, M.; and Richard, C.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{takizawa2015analysis,\n\tauthor = {Takizawa, Masa-aki and Yukawa, Masahiro and Richard, Cédric},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},\n\tdate-added = {2014-10-06 09:53:20 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\ttitle = {A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel Hilbert spaces},\n\turl_paper = {http://arxiv.org/pdf/1410.3595v1.pdf},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n \n A graph Laplacian regularization for hyperspectral data unmixing.\n \n \n \n \n\n\n \n Ammanouil, R.; Ferrari, A.; and Richard, C.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"A code\n  \n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{ammanouil2015graph,\n\tauthor = {Ammanouil, Rita and Ferrari, André and Richard, Cédric},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},\n\tdate-added = {2014-10-05 10:19:46 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {A graph Laplacian regularization for hyperspectral data unmixing},\n\turl_code = {Matlab/ammanouil2015graph.zip},\n\turl_paper = {Articles/ammanouil2015graph.pdf},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n Steady-state performance of non-negative least-mean-square algorithm and its variants.\n \n \n \n\n\n \n Chen, J.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2015steady,\n\tauthor = {Chen, Jie and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},\n\tdate-added = {2014-10-05 06:19:39 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {adaptive filtering with constraints},\n\ttitle = {Steady-state performance of non-negative least-mean-square algorithm and its variants},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n \n Convergence analysis of the augmented complex KLMS algorithm with pre-tuned dictionary.\n \n \n \n \n\n\n \n Gao, W.; Chen, J.; Richard, C.; Bermudez, J. M.; and Huang, J.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"Convergence paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{gao2015convergence,\n\tauthor = {Gao, Wei and Chen, Jie and Richard, Cédric and Bermudez, Jose-Carlos M. and Huang, Jianguo},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},\n\tdate-added = {2014-10-05 06:16:21 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\ttitle = {Convergence analysis of the augmented complex KLMS algorithm with pre-tuned dictionary},\n\turl_paper = {Articles/gao2015convergence.pdf},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n \n Multitask diffusion LMS with sparsity-based regularization.\n \n \n \n \n\n\n \n Nassif, R.; Richard, C.; Ferrari, A.; and Sayed, A. H.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"Multitask paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{nassif2015multitask,\n\tauthor = {Nassif, Roula and Richard, Cédric and Ferrari, André and Sayed, Ali H.},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},\n\tdate-added = {2014-10-05 06:09:25 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Multitask diffusion LMS with sparsity-based regularization},\n\turl_paper = {Articles/nassif2015multitask.pdf},\n\tyear = {2015}}\n\n
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\n \n\n \n \n \n \n \n \n Adaptive clustering for multitask diffusion networks.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Sayed, A. H.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 23rd European Conference on, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"Adaptive paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2015adaptive,\n\tauthor = {Chen, Jie and Richard, Cédric and Sayed, Ali H.},\n\tbooktitle = {Signal Processing (EUSIPCO), 23rd European Conference on},\n\tdate-added = {2014-01-30 16:10:37 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Adaptive clustering for multitask diffusion networks},\n\turl_paper = {Articles/chen2015adaptive.pdf},\n\tyear = {2015}}\n\n
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\n  \n 2014\n \n \n (2)\n \n \n
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\n  \n article\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n \n Blind and fully constrained unmixing of hyperspectral images.\n \n \n \n \n\n\n \n Ammanouil, R.; Ferrari, A.; Richard, C.; and Mary, D.\n\n\n \n\n\n\n Image Processing, IEEE Transactions on, 23(12): 5510-5518. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"Blind paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{ammanouil2014blind,\n\tauthor = {Ammanouil, Rita and Ferrari, André and Richard, Cédric and Mary, David},\n\tdate-added = {2014-03-03 02:08:25 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Image Processing, IEEE Transactions on},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {12},\n\tpages = {5510-5518},\n\ttitle = {Blind and fully constrained unmixing of hyperspectral images},\n\turl_paper = {Articles/ammanouil2014blind.pdf},\n\tvolume = {23},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Decentralized positioning algorithm for relative nodes localization in wireless body area networks.\n \n \n \n \n\n\n \n Hamie, J.; Denis, B.; and Richard, C.\n\n\n \n\n\n\n Journal on Mobile Networks and Applications, 19(6): 698-706. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"Decentralized paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{hamie2014decentralized,\n\tauthor = {Jihad Hamie and Benoit Denis and Cédric Richard},\n\tdate-added = {2013-12-12 07:57:45 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Journal on Mobile Networks and Applications},\n\tkeywords = {sensor networks: on-body devices},\n\tnumber = {6},\n\tpages = {698-706},\n\ttitle = {Decentralized positioning algorithm for relative nodes localization in wireless body area networks},\n\turl_paper = {Articles/hamie2014decentralized.pdf},\n\tvolume = {19},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Steady-state performance of non-negative least-mean-square algorithm and its variants.\n \n \n \n \n\n\n \n Chen, J.; Bermudez, J. M.; and Richard, C.\n\n\n \n\n\n\n Signal Processing Letters, IEEE, 21(8): 928-932. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"Steady-state code\n  \n \n \n \"Steady-state paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{chen2014steady,\n\tauthor = {Chen, Jie and Bermudez, Jose-Carlos M. and Richard, Cédric},\n\tdate-added = {2013-10-31 16:25:44 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing Letters, IEEE},\n\tkeywords = {adaptive filtering with constraints},\n\tnumber = {8},\n\tpages = {928-932},\n\ttitle = {Steady-state performance of non-negative least-mean-square algorithm and its variants},\n\turl_code = {Matlab/chen2014steady.zip},\n\turl_paper = {Articles/chen2014steady.pdf},\n\tvolume = {21},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Multitask diffusion adaptation over networks.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Sayed, A. H.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 62(16): 4129-4144. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"Multitask paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{chen2014multitask,\n\tauthor = {Chen, Jie and Richard, Cédric and Sayed, Ali H.},\n\tdate-added = {2013-10-31 12:11:56 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {sensor networks: distributed learning},\n\tnumber = {16},\n\tpages = {4129-4144},\n\ttitle = {Multitask diffusion adaptation over networks},\n\turl_paper = {http://arxiv.org/abs/1311.4894},\n\tvolume = {62},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Online dictionary learning for kernel LMS.\n \n \n \n \n\n\n \n Gao, W.; Chen, J.; Richard, C.; and Huang, J.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 62(11): 2765-2777. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{gao2014online,\n\tauthor = {Gao, Wei and Chen, Jie and Richard, Cédric and Huang, Jianguo},\n\tdate-added = {2013-06-22 10:33:36 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {kernel adaptive filtering},\n\tnumber = {11},\n\tpages = {2765-2777},\n\ttitle = {Online dictionary learning for kernel LMS},\n\turl_paper = {Articles/gao2014online.pdf},\n\tvolume = {62},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Variants of non-negative least-mean-square algorithm and convergence analysis.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; Bermudez, J. M.; and Honeine, P.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 62(15): 3990-4005. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"Variants code\n  \n \n \n \"Variants paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{chen2014variants,\n\tauthor = {Chen, Jie and Richard, Cédric and Bermudez, Jose-Carlos M. and Honeine, Paul},\n\tdate-added = {2013-04-03 17:01:09 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {adaptive filtering with constraints},\n\tnumber = {15},\n\tpages = {3990-4005},\n\tpublisher = {IEEE},\n\ttitle = {Variants of non-negative least-mean-square algorithm and convergence analysis},\n\turl_code = {Matlab/chen2014steady.zip},\n\turl_paper = {Articles/chen2014variants.pdf},\n\tvolume = {62},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Nonlinear estimation of material abundances in hyperspectral images with L1-norm spatial regularization.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Honeine, P.\n\n\n \n\n\n\n Geoscience and Remote Sensing, IEEE Transactions on, 52(5): 2654-2665. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"Nonlinear code\n  \n \n \n \"Nonlinear paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{chen2014nonlinear2,\n\tauthor = {Chen, Jie and Richard, Cédric and Honeine, Paul},\n\tdate-added = {2013-04-03 16:56:03 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Geoscience and Remote Sensing, IEEE Transactions on},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {5},\n\tpages = {2654-2665},\n\tpublisher = {IEEE},\n\ttitle = {Nonlinear estimation of material abundances in hyperspectral images with L1-norm spatial regularization},\n\turl_code = {Matlab/chen2014nonlinear2.zip},\n\turl_paper = {Articles/chen2014nonlinear2.pdf},\n\tvolume = {52},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Nonlinear unmixing of hyperspectral images: Models and algorithms.\n \n \n \n \n\n\n \n Dobigeon, N.; Tourneret, J.; Richard, C.; Bermudez, J. M.; McLaughlin, S.; and Hero, A. O.\n\n\n \n\n\n\n Signal Processing Magazine, IEEE, 31(1): 82-94. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"Nonlinear paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{dobigeon2014nonlinear,\n\tauthor = {Dobigeon, Nicolas and Tourneret, Jean-Yves and Richard, Cédric and Bermudez, Jose-Carlos M. and McLaughlin, Stephen and Hero, Alfred O.},\n\tdate-added = {2013-04-03 16:52:43 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing Magazine, IEEE},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {1},\n\tpages = {82-94},\n\tpublisher = {IEEE},\n\ttitle = {Nonlinear unmixing of hyperspectral images: Models and algorithms},\n\turl_paper = {Articles/dobigeon2014nonlinear.pdf},\n\tvolume = {31},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Diffusion LMS for clustered multitask networks.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Sayed, A. H.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"Diffusion paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2014diffusion,\n\tauthor = {Chen, Jie and Richard, Cédric and Sayed, Ali H.},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},\n\tdate-added = {2016-09-26 08:26:38 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Diffusion LMS for clustered multitask networks},\n\turl_paper = {Articles/chen2014diffusion.pdf},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Diffusion LMS for multitask problems with overlapping hypothesis subspaces.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; Hero, A. O.; and Sayed, A. H.\n\n\n \n\n\n\n In Machine Learning for Signal Processing (MLSP), 2014 IEEE International Workshop on, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"Diffusion paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2014diffusion3,\n\tauthor = {Chen, Jie and Richard, Cédric and Hero, Alfred O. and Sayed, Ali H.},\n\tbooktitle = {Machine Learning for Signal Processing (MLSP), 2014 IEEE International Workshop on},\n\tdate-added = {2014-05-16 15:06:59 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Diffusion LMS for multitask problems with overlapping hypothesis subspaces},\n\turl_paper = {Articles/chen2014diffusion3.pdf},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Performance analysis of multitask diffusion adaptation over asynchronous networks.\n \n \n \n \n\n\n \n Nassif, R.; Richard, C.; Ferrari, A.; and Sayed, A. H.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2014 Forty Eighth Asilomar Conference on, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"Performance paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{nassif2014performance,\n\tauthor = {Nassif, Roula and Richard, Cédric and Ferrari, André and Sayed, Ali H.},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2014 Forty Eighth Asilomar Conference on},\n\tdate-added = {2014-04-28 20:46:14 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Performance analysis of multitask diffusion adaptation over asynchronous networks},\n\turl_paper = {Articles/nassif2014performance.pdf},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Convex combination of kernel adaptive filters.\n \n \n \n \n\n\n \n Gao, W.; Richard, C.; Bermudez, J. M.; and Huang, J.\n\n\n \n\n\n\n In Machine Learning for Signal Processing (MLSP), 2014 IEEE International Workshop on, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"Convex paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{gao2014convex,\n\tauthor = {Gao, Wei and Richard, Cédric and Bermudez, Jose-Carlos M. and Huang, Jianguo},\n\tbooktitle = {Machine Learning for Signal Processing (MLSP), 2014 IEEE International Workshop on},\n\tdate-added = {2014-04-25 21:28:07 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\ttitle = {Convex combination of kernel adaptive filters},\n\turl_paper = {Articles/gao2014convex.pdf},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed image reconstruction for very large arrays in radio astronomy.\n \n \n \n \n\n\n \n Ferrari, A.; Mary, D.; Flamary, R.; and Richard, C.\n\n\n \n\n\n\n In Sensor Array and Multichannel Signal Processing (SAM), 2014 IEEE Workshop on, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{ferrari2014distributed,\n\tauthor = {Ferrari, André and Mary, David and Flamary, Rémi and Richard, Cédric},\n\tbooktitle = {Sensor Array and Multichannel Signal Processing (SAM), 2014 IEEE Workshop on},\n\tdate-added = {2014-04-14 16:13:09 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Distributed image reconstruction for very large arrays in radio astronomy},\n\turl_paper = {Articles/ferrari2014distributed.pdf},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n GLUP: Yet another algorithm for blind unmixing of hyperspectral data.\n \n \n \n \n\n\n \n Ammanouil, R.; Ferrari, A.; Richard, C.; and Mary, D.\n\n\n \n\n\n\n In Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2014 6th Workshop on, pages 1-4, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"GLUP: code\n  \n \n \n \"GLUP: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{ammanouil2014glup,\n\tauthor = {Ammanouil, Rita and Ferrari, André and Richard, Cédric and Mary, David},\n\tbooktitle = {Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2014 6th Workshop on},\n\tdate-added = {2014-03-10 18:54:00 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\tpages = {1-4},\n\ttitle = {GLUP: Yet another algorithm for blind unmixing of hyperspectral data},\n\turl_code = {Matlab/ammanouil2014glup.zip},\n\turl_paper = {Articles/ammanouil2014glup.pdf},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging.\n \n \n \n \n\n\n \n Imbiriba, T.; Bermudez, J. M.; Tourneret, J.; and Richard, C.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"Detection paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{imbiriba2014detection,\n\tauthor = {Imbiriba, Tales and Bermudez, Jose-Carlos M. and Tourneret, Jean-Yves and Richard, Cédric},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},\n\tdate-added = {2013-11-05 00:36:48 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging},\n\turl_paper = {Articles/imbiriba2014detection.pdf},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Hero, A. O.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"Nonlinear paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2014nonlinear,\n\tauthor = {Chen, Jie and Richard, Cédric and Hero, Alfred O.},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},\n\tdate-added = {2013-10-31 16:09:12 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization},\n\turl_paper = {Articles/chen2014nonlinear.pdf},\n\tyear = {2014}}\n\n
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\n \n\n \n \n \n \n \n \n Convergence analysis of kernel LMS algorithm with pre-tuned dictionary.\n \n \n \n \n\n\n \n Chen, J.; Gao, W.; Richard, C.; and Bermudez, J. M.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"Convergence code\n  \n \n \n \"Convergence paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2014convergence,\n\tauthor = {Chen, Jie and Gao, Wei and Richard, Cédric and Bermudez, Jose-Carlos M.},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},\n\tdate-added = {2013-04-03 16:42:38 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\ttitle = {Convergence analysis of kernel LMS algorithm with pre-tuned dictionary},\n\turl_code = {Matlab/chen2014convergence.zip},\n\turl_paper = {Articles/chen2014convergence.pdf},\n\tyear = {2014}}\n\n
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\n  \n 2013\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n On-body TOA-based ranging error model for motion capture. Applications within wearable UWB networks.\n \n \n \n \n\n\n \n Hamie, J.; Denis, B.; D’Errico, R.; and Richard, C.\n\n\n \n\n\n\n Journal of Ambient Intelligence and Humanized Computing. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"On-body paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{hamie2013onbody,\n\tauthor = {Jihad Hamie and Benoit Denis and Raffaele D’Errico and Cédric Richard},\n\tdate-added = {2013-12-09 22:14:16 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Journal of Ambient Intelligence and Humanized Computing},\n\tkeywords = {sensor networks: on-body devices},\n\ttitle = {On-body TOA-based ranging error model for motion capture. Applications within wearable UWB networks},\n\turl_paper = {Articles/hamie2013onbody.pdf},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n Nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Honeine, P.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 61(2): 480-492. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"Nonlinear code\n  \n \n \n \"Nonlinear paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 10 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{chen2013nonlinear,\n\tauthor = {Chen, Jie and Richard, Cédric and Honeine, Paul},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {2},\n\tpages = {480-492},\n\tpublisher = {IEEE},\n\ttitle = {Nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model},\n\turl_code = {Matlab/chen2013nonlinear.zip},\n\turl_paper = {Articles/chen2013nonlinear.pdf},\n\tvolume = {61},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectales. Extensions aux modèles de mélange non-linéaires.\n \n \n \n \n\n\n \n Honeine, P.; Richard, C.; and Nguyen, N. H.\n\n\n \n\n\n\n Traitement du Signal, 30(1-2): 61-86. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"Approches paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{honeine2013approches,\n\tauthor = {Honeine, Paul and Richard, Cédric and Nguyen, Nguyen Hoang},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Traitement du Signal},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {1-2},\n\tpages = {61-86},\n\tpublisher = {Lavoisier},\n\ttitle = {Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectales. Extensions aux modèles de mélange non-linéaires},\n\turl_paper = {Articles/honeine2013approches.pdf},\n\tvolume = {30},\n\tyear = {2013}}\n\n
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\n  \n inbook\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n Approche variationnelle à noyau pour le suivi de cibles dans un réseau de capteurs sans fil.\n \n \n \n \n\n\n \n Snoussi, H.; Honeine, P.; and Richard, C.\n\n\n \n\n\n\n Méthodes d'inversion appliquées au traitement du signal et de l'image. Giovannelli, J.; and Idier, J., editor(s). Hermès, Lavoisier edition, 2013.\n \n\n\n\n
\n\n\n\n \n \n \"Méthodes paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inbook{snoussi2013methodes,\n\tauthor = {Snoussi, Hichem and Honeine, Paul and Richard, Cédric},\n\tchapter = {Approche variationnelle à noyau pour le suivi de cibles dans un réseau de capteurs sans fil},\n\tdate-added = {2015-02-03 22:43:43 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tedition = {Lavoisier},\n\teditor = {Giovannelli, Jean-François and Idier, Jérôme},\n\tjournal = {Traité IC2},\n\tnumber = {10},\n\tpublisher = {Hermès},\n\ttitle = {Méthodes d'inversion appliquées au traitement du signal et de l'image},\n\turl_paper = {Articles/snoussi2013methodes.pdf},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n .\n \n \n \n \n\n\n \n Nguyen, N. H.; Chen, J.; Richard, C.; Honeine, P.; and Theys, C.\n\n\n \n\n\n\n Volume 59 . Supervised nonlinear unmixing of hyperspectral images using a pre-image method, pages 417-437. Mary, D.; Theys, C.; and Aime, C., editor(s). EDP Sciences, 2013.\n \n\n\n\n
\n\n\n\n \n \n \"Supervised paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inbook{nguyen2013supervised,\n\tauthor = {Nguyen, Nguyen Hoang and Chen, Jie and Richard, Cédric and Honeine, Paul and Theys, Céline},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\teditor = {Mary, David and Theys, Céline and Aime, Claude},\n\tjournal = {EAS Publications Series},\n\tkeywords = {hyperspectral data unmixing},\n\tpages = {417-437},\n\tpublisher = {EDP Sciences},\n\ttitle = {Supervised nonlinear unmixing of hyperspectral images using a pre-image method},\n\turl_paper = {Articles/nguyen2013supervised.pdf},\n\tvolume = {59},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n .\n \n \n \n \n\n\n \n Theys, C.; Lantéri, H.; and Richard, C.\n\n\n \n\n\n\n Volume 59 . SGM to solve NMF. Application to hyperspectral data, pages 357-379. Mary, D.; Theys, C.; and Aime, C., editor(s). EDP Sciences, 2013.\n \n\n\n\n
\n\n\n\n \n \n \"SGM paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inbook{theys2013sgm,\n\tauthor = {Theys, Céline and Lantéri, Henri and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\teditor = {Mary, David and Theys, Céline and Aime, Claude},\n\tjournal = {EAS Publications Series},\n\tkeywords = {hyperspectral data unmixing},\n\tpages = {357-379},\n\tpublisher = {EDP Sciences},\n\ttitle = {SGM to solve NMF. Application to hyperspectral data},\n\turl_paper = {Articles/theys2013sgm.pdf},\n\tvolume = {59},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n .\n \n \n \n \n\n\n \n Lantéri, H.; Theys, C.; and Richard, C.\n\n\n \n\n\n\n Volume 59 . Constrained minimization algorithms, pages 303-324. Mary, D.; Theys, C.; and Aime, C., editor(s). EDP Sciences, 2013.\n \n\n\n\n
\n\n\n\n \n \n \"Constrained paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inbook{lanteri2013constrained,\n\tauthor = {Lantéri, Henri and Theys, Céline and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\teditor = {Mary, David and Theys, Céline and Aime, Claude},\n\tjournal = {EAS Publications Series},\n\tkeywords = {hyperspectral data unmixing},\n\tpages = {303-324},\n\tpublisher = {EDP Sciences},\n\ttitle = {Constrained minimization algorithms},\n\turl_paper = {Articles/lanteri2013constrained.pdf},\n\tvolume = {59},\n\tyear = {2013}}\n\n
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\n  \n inproceedings\n \n \n (13)\n \n \n
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\n \n\n \n \n \n \n \n Joint motion capture and navigation in heterogeneous body area networks with distance estimation over neighborhood graph.\n \n \n \n\n\n \n Hamie, J.; Denis, B.; and Richard, C.\n\n\n \n\n\n\n In Positioning Navigation and Communication (WPNC), 2013 10th Workshop on, 2013. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{hamie2013joint,\n\tauthor = {Jihad Hamie and Benoit Denis and Cédric Richard},\n\tbooktitle = {Positioning Navigation and Communication (WPNC), 2013 10th Workshop on},\n\tdate-added = {2013-12-12 07:59:45 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: on-body devices},\n\ttitle = {Joint motion capture and navigation in heterogeneous body area networks with distance estimation over neighborhood graph},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n Kernel LMS algorithm with forward-backward splitting for dictionary learning.\n \n \n \n \n\n\n \n Gao, W.; Chen, J.; Richard, C.; Huang, J.; and Flamary, R.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"Kernel code\n  \n \n \n \"Kernel paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{gao2013kernel,\n\tauthor = {Gao, Wei and Chen, Jie and Richard, Cédric and Huang, Jianguo and Flamary, Rémi},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on},\n\tdate-added = {2013-10-31 11:57:44 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\ttitle = {Kernel LMS algorithm with forward-backward splitting for dictionary learning},\n\turl_code = {Matlab/gao2013kernel.zip},\n\turl_paper = {Articles/gao2013kernel.pdf},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n Learning a common dictionary over a sensor network.\n \n \n \n \n\n\n \n Chainais, P.; and Richard, C.\n\n\n \n\n\n\n In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE International Workshop on, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"Learning paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chainais2013learning,\n\tauthor = {Chainais, Pierre and Richard, Cédric},\n\tbooktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE International Workshop on},\n\tdate-added = {2013-07-24 07:55:10 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Learning a common dictionary over a sensor network},\n\turl_paper = {Articles/chainais2013learning.pdf},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n Performance analysis of diffusion LMS in multitask networks.\n \n \n \n \n\n\n \n Chen, J.; and Richard, C.\n\n\n \n\n\n\n In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE International Workshop on, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"Performance paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2013performance,\n\tauthor = {Chen, Jie and Richard, Cédric},\n\tbooktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE International Workshop on},\n\tdate-added = {2013-07-19 08:15:11 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Performance analysis of diffusion LMS in multitask networks},\n\turl_paper = {Articles/chen2013performance.pdf},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n One-class SVM sans biais.\n \n \n \n \n\n\n \n Lecomte, S.; Lengelle, R.; Richard, C.; Capman, F.; and Ravera, B.\n\n\n \n\n\n\n In Actes du 24e Colloque GRETSI sur le Traitement du Signal et des Images, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"One-class paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lecomte2013one,\n\tauthor = {Lecomte, Sébastien and Lengelle, Régis and Richard, Cédric and Capman, Francois and Ravera, Bertrand},\n\tbooktitle = {Actes du 24e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2013-04-04 08:31:02 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {One-class SVM sans biais},\n\turl_paper = {Articles/lecomte2013one.pdf},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n Adaptation en ligne d'un dictionnaire pour les méthodes à noyau.\n \n \n \n \n\n\n \n Saidé, C.; Honeine, P.; Lengellé, R.; Richard, C.; and Achkar, R.\n\n\n \n\n\n\n In Actes du 24e Colloque GRETSI sur le Traitement du Signal et des Images, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"Adaptation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{saide2013adaptation,\n\tauthor = {Saidé, Chafic and Honeine, Paul and Lengellé, Régis and Richard, Cédric and Achkar, Roger},\n\tbooktitle = {Actes du 24e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2013-04-04 08:25:35 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\ttitle = {Adaptation en ligne d'un dictionnaire pour les méthodes à noyau},\n\turl_paper = {Articles/saide2013adaptation.pdf},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n Identification en ligne avec régularisation L1. Algorithme et analyse de convergence en environnement non-stationnaire.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; Bermudez, J. M.; and Honeine, P.\n\n\n \n\n\n\n In Actes du 24e Colloque GRETSI sur le Traitement du Signal et des Images, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"Identification paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2013identification,\n\tauthor = {Chen, Jie and Richard, Cédric and Bermudez, Jose-Carlos M. and Honeine, Paul},\n\tbooktitle = {Actes du 24e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2013-04-04 08:22:48 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {adaptive filtering with constraints},\n\ttitle = {Identification en ligne avec régularisation L1. Algorithme et analyse de convergence en environnement non-stationnaire},\n\turl_paper = {Articles/chen2013identification.pdf},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n Group Lasso avec contraintes de positivité et de somme unité pour le démélange non-supervisé des images hyperspectrales.\n \n \n \n \n\n\n \n Ferrari, A.; Richard, C.; and Mary, D.\n\n\n \n\n\n\n In Actes du 24e Colloque GRETSI sur le Traitement du Signal et des Images, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"Group paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{ferrari2013group,\n\tauthor = {Ferrari, André and Richard, Cédric and Mary, David},\n\tbooktitle = {Actes du 24e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2013-04-04 08:21:13 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Group Lasso avec contraintes de positivité et de somme unité pour le démélange non-supervisé des images hyperspectrales},\n\turl_paper = {Articles/ferrari2013group.pdf},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed dictionary learning over a sensor network.\n \n \n \n \n\n\n \n Chainais, P.; and Richard, C.\n\n\n \n\n\n\n In Apprentissage Automatique (CAP), Conférence Francophone sur, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chainais2013distributed,\n\tauthor = {Chainais, Pierre and Richard, Cédric},\n\tbooktitle = {Apprentissage Automatique (CAP), Conférence Francophone sur},\n\tdate-added = {2013-04-04 08:05:47 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Distributed dictionary learning over a sensor network},\n\turl_paper = {http://arxiv.org/abs/1304.3568},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n Non-stationary analysis of the convergence of the non-negative least-mean-square algorithm.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Bermudez, J. M.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 21th European Conference on, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"Non-stationary paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2013nonstationary,\n\tauthor = {Chen, Jie and Richard, Cédric and Bermudez, Jose-Carlos M.},\n\tbooktitle = {Signal Processing (EUSIPCO), 21th European Conference on},\n\tdate-added = {2013-04-04 08:03:39 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {adaptive filtering with constraints},\n\ttitle = {Non-stationary analysis of the convergence of the non-negative least-mean-square algorithm},\n\turl_paper = {Articles/chen2013nonstationary.pdf},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n Constrained Kaczmarz's cyclic projections for unmixing hyperspectral data.\n \n \n \n \n\n\n \n Honeine, P.; Lantéri, H.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 21th European Conference on, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"Constrained paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2013constrained,\n\tauthor = {Honeine, Paul and Lantéri, Henri and Richard, Cédric},\n\tbooktitle = {Signal Processing (EUSIPCO), 21th European Conference on},\n\tdate-added = {2013-04-04 07:59:29 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Constrained Kaczmarz's cyclic projections for unmixing hyperspectral data},\n\turl_paper = {Articles/honeine2013constrained.pdf},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Honeine, P.\n\n\n \n\n\n\n In Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2013 5rd Workshop on, pages 1-4, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"Estimating paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2013estimating,\n\tauthor = {Chen, Jie and Richard, Cédric and Honeine, Paul},\n\tbooktitle = {Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2013 5rd Workshop on},\n\tdate-added = {2013-04-04 06:56:47 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\tpages = {1-4},\n\ttitle = {Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model},\n\turl_paper = {Articles/chen2013estimating.pdf},\n\tyear = {2013}}\n\n
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\n \n\n \n \n \n \n \n \n Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; Ferrari, A.; and Honeine, P.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, 2013. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Nonlinear paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2013nonlinear1,\n\tauthor = {Chen, Jie and Richard, Cédric and Ferrari, André and Honeine, Paul},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on},\n\tdate-added = {2013-04-03 16:38:37 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\torganization = {IEEE},\n\ttitle = {Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression},\n\turl_paper = {Articles/chen2013nonlinear1.pdf},\n\tyear = {2013}}\n\n
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\n  \n 2012\n \n \n (4)\n \n \n
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\n  \n article\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n Robust interval-based localization algorithms for mobile sensor networks.\n \n \n \n \n\n\n \n Mourad, F.; Snoussi, H.; Kieffer, M.; and Richard, C.\n\n\n \n\n\n\n International Journal of Distributed Sensor Networks,1-7. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Robust paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{mourad2012robust1,\n\tauthor = {Mourad, Farah and Snoussi, Hichem and Kieffer, Michel and Richard, Cédric},\n\tdate-added = {2016-04-07 20:03:04 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {International Journal of Distributed Sensor Networks},\n\tkeywords = {sensor networks: interval-based analysis},\n\tpages = {1-7},\n\ttitle = {Robust interval-based localization algorithms for mobile sensor networks},\n\turl_paper = {http://www.hindawi.com/journals/ijdsn/2012/303895/cta/},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Stochastic behavior analysis of the Gaussian kernel least-mean-square algorithm.\n \n \n \n \n\n\n \n Parreira, W. D.; Bermudez, J. M.; Richard, C.; and Tourneret, J.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 60(5): 2208-2222. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Stochastic code\n  \n \n \n \"Stochastic paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 16 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{parreira2012stochastic,\n\tauthor = {Parreira, Wemerson D. and Bermudez, Jose-Carlos M. and Richard, Cédric and Tourneret, Jean-Yves},\n\tdate-added = {2013-04-02 16:16:42 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {kernel adaptive filtering},\n\tnumber = {5},\n\tpages = {2208-2222},\n\tpublisher = {IEEE},\n\ttitle = {Stochastic behavior analysis of the Gaussian kernel least-mean-square algorithm},\n\turl_code = {Matlab/parreira2012stochastic.zip},\n\turl_paper = {Articles/parreira2012stochastic.pdf},\n\tvolume = {60},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Controlled mobility sensor networks for target tracking using ant colony optimization.\n \n \n \n \n\n\n \n Mourad, F.; Chehade, H.; Snoussi, H.; Yalaoui, F.; Amodeo, L.; and Richard, C.\n\n\n \n\n\n\n Mobile Computing, IEEE Transactions on, 11(8): 1261-1273. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Controlled paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{mourad2012controlled,\n\tauthor = {Mourad, Farah and Chehade, Hicham and Snoussi, Hichem and Yalaoui, Farouk and Amodeo, Lionel and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Mobile Computing, IEEE Transactions on},\n\tkeywords = {sensor networks: interval-based analysis},\n\tnumber = {8},\n\tpages = {1261-1273},\n\tpublisher = {IEEE},\n\ttitle = {Controlled mobility sensor networks for target tracking using ant colony optimization},\n\turl_paper = {Articles/mourad2012controlled.pdf},\n\tvolume = {11},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Geometric unmixing of large hyperspectral images: A barycentric coordinate approach.\n \n \n \n \n\n\n \n Honeine, P.; and Richard, C.\n\n\n \n\n\n\n Geoscience and Remote Sensing, IEEE Transactions on, 50(6): 2185-2195. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Geometric paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{honeine2012geometric,\n\tauthor = {Honeine, Paul and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Geoscience and Remote Sensing, IEEE Transactions on},\n\tkeywords = {hyperspectral data unmixing},\n\tnumber = {6},\n\tpages = {2185-2195},\n\tpublisher = {IEEE},\n\ttitle = {Geometric unmixing of large hyperspectral images: A barycentric coordinate approach},\n\turl_paper = {Articles/honeine2012geometric.pdf},\n\tvolume = {50},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Prediction-based cluster management for target tracking in wireless sensor networks.\n \n \n \n \n\n\n \n Teng, J.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n Wireless Communications and Mobile Computing, 12(9): 797-812. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Prediction-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{teng2012prediction,\n\tauthor = {Teng, Jing and Snoussi, Hichem and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Wireless Communications and Mobile Computing},\n\tkeywords = {sensor networks: variational filtering},\n\tnumber = {9},\n\tpages = {797-812},\n\tpublisher = {John Wiley and Sons, Ltd.},\n\ttitle = {Prediction-based cluster management for target tracking in wireless sensor networks},\n\turl_paper = {Articles/teng2012prediction.pdf},\n\tvolume = {12},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Multiclass classification machines with the complexity of a single binary classifier.\n \n \n \n \n\n\n \n Honeine, P.; Noumir, Z.; and Richard, C.\n\n\n \n\n\n\n Signal Processing, 93(5): 1013-1026. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Multiclass paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{honeine2012multiclass,\n\tauthor = {Honeine, Paul and Noumir, Zineb and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing},\n\tkeywords = {classification: one-class and multiclass},\n\tnumber = {5},\n\tpages = {1013-1026},\n\tpublisher = {Elsevier},\n\ttitle = {Multiclass classification machines with the complexity of a single binary classifier},\n\turl_paper = {Articles/honeine2012multiclass.pdf},\n\tvolume = {93},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Routing optimization and secure target tracking in distributed wireless sensor networks.\n \n \n \n \n\n\n \n Mansouri, M.; Lyes, K.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n Wireless Sensor Networks and Energy Efficiency: Protocols, Routing, and Management,396–417. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Routing paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{mansouri2012routing,\n\tauthor = {Mansouri, Majdi and Lyes, Khoukhi and Snoussi, Hichem and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Wireless Sensor Networks and Energy Efficiency: Protocols, Routing, and Management},\n\tkeywords = {sensor networks: variational filtering},\n\tpages = {396--417},\n\tpublisher = {IGI Global Snippet},\n\ttitle = {Routing optimization and secure target tracking in distributed wireless sensor networks},\n\turl_paper = {Articles/mansouri2012routing.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n Multi-objective optimization for target tracking in quantized sensor networks.\n \n \n \n\n\n \n Mansouri, M.; Hnaien, F.; Nounou, H.; Nounou, M.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n Journal of Communication and Computer, 9: 1195-1205. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{mansouri2012multi,\n\tauthor = {Mansouri, Majdi and Hnaien, Faicel and Nounou, Hazem and Nounou, Mohamed and Snoussi, Hichem and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Journal of Communication and Computer},\n\tkeywords = {sensor networks: variational filtering},\n\tpages = {1195-1205},\n\ttitle = {Multi-objective optimization for target tracking in quantized sensor networks},\n\tvolume = {9},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed variational filtering for simultaneous sensor localization and target tracking in wireless sensor networks.\n \n \n \n \n\n\n \n Teng, J.; Snoussi, H.; Richard, C.; and Zhou, R.\n\n\n \n\n\n\n Vehicular Technology, IEEE Transactions on, 61(5): 2305-2318. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{teng2012distributed,\n\tauthor = {Teng, Jing and Snoussi, Hichem and Richard, Cédric and Zhou, Rong},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Vehicular Technology, IEEE Transactions on},\n\tkeywords = {sensor networks: variational filtering},\n\tnumber = {5},\n\tpages = {2305-2318},\n\tpublisher = {IEEE},\n\ttitle = {Distributed variational filtering for simultaneous sensor localization and target tracking in wireless sensor networks},\n\turl_paper = {Articles/teng2012distributed.pdf},\n\tvolume = {61},\n\tyear = {2012}}\n\n
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\n  \n inbook\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Time-frequency learning machines for nonstationarity detection using surrogates.\n \n \n \n \n\n\n \n Borgnat, P.; Flandrin, P.; Richard, C.; Ferrari, A.; Amoud, H.; and Honeine, P.\n\n\n \n\n\n\n Volume 1 . Advances in Machine Learning and Data Mining for Astronomy, pages 487-503. Way, M. J.; Scargle, J. D.; Ali, K. M.; and Srivastava, A. N., editor(s). CRC Press, Taylor and Francis Group, 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Advances paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inbook{borgnat2012time,\n\tauthor = {Borgnat, Pierre and Flandrin, Patrick and Richard, Cédric and Ferrari, André and Amoud, Hassan and Honeine, Paul},\n\tchapter = {Time-frequency learning machines for nonstationarity detection using surrogates},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\teditor = {Michael J. Way and Jeffrey D. Scargle and Kamal M. Ali and Ashok N. Srivastava},\n\tkeywords = {testing signal stationarity/causality},\n\tpages = {487-503},\n\tpublisher = {CRC Press, Taylor and Francis Group},\n\ttitle = {Advances in Machine Learning and Data Mining for Astronomy},\n\turl_paper = {Articles/borgnat2012time.pdf},\n\tvolume = {1},\n\tyear = {2012}}\n\n
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\n  \n inproceedings\n \n \n (19)\n \n \n
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\n \n\n \n \n \n \n \n \n Nonlinear unmixing of hyperspectral images with multi-kernel learning.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Honeine, P.\n\n\n \n\n\n\n In Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4rd Workshop on, pages 1-4, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"Nonlinear paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2012nonlinear,\n\tauthor = {Chen, Jie and Richard, Cédric and Honeine, Paul},\n\tbooktitle = {Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4rd Workshop on},\n\tdate-added = {2013-04-02 14:18:04 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\tpages = {1-4},\n\ttitle = {Nonlinear unmixing of hyperspectral images with multi-kernel learning},\n\turl_paper = {Articles/chen2012nonlinear.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n A Gaussian process regression approach for testing Granger causality between time series data.\n \n \n \n \n\n\n \n Amblard, P.; Michel, O. J. J.; Richard, C.; and Honeine, P.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, pages 3357-3360, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{amblard2012gaussian,\n\tauthor = {Amblard, Pierre-Olivier and Michel, Olivier J. J. and Richard, Cédric and Honeine, Paul},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {testing signal stationarity/causality},\n\torganization = {IEEE},\n\tpages = {3357-3360},\n\ttitle = {A Gaussian process regression approach for testing Granger causality between time series data},\n\turl_paper = {Articles/amblard2012gaussian.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Kernelizing Geweke's measures of granger causality.\n \n \n \n \n\n\n \n Amblard, P.; Vincent, R.; Michel, O. J. J.; and Richard, C\n\n\n \n\n\n\n In Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on, pages 1-6, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Kernelizing paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{amblard2012kernelizing,\n\tauthor = {Amblard, Pierre-Olivier and Vincent, Rémi and Michel, Olivier J. J. and Richard, C},\n\tbooktitle = {Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {testing signal stationarity/causality},\n\torganization = {IEEE},\n\tpages = {1-6},\n\ttitle = {Kernelizing Geweke's measures of granger causality},\n\turl_paper = {Articles/amblard2012kernelizing.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n One-class machines based on the coherence criterion.\n \n \n \n \n\n\n \n Noumir, Z.; Honeine, P.; and Richard, C.\n\n\n \n\n\n\n In Statistical Signal Processing Workshop (SSP), 2012 IEEE, pages 600-603, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"One-class paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{noumir2012one,\n\tauthor = {Noumir, Zineb and Honeine, Paul and Richard, Cédric},\n\tbooktitle = {Statistical Signal Processing Workshop (SSP), 2012 IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {classification: one-class and multiclass},\n\torganization = {IEEE},\n\tpages = {600-603},\n\ttitle = {One-class machines based on the coherence criterion},\n\turl_paper = {Articles/noumir2012one.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Robust bounded-error tracking in wireless sensor networks.\n \n \n \n \n\n\n \n Mourad, F.; Snoussi, H.; Kieffer, M.; and Richard, C.\n\n\n \n\n\n\n In 16th IFAC Symposium on System Identification, pages 1097-1102, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"Robust paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mourad2012robust,\n\tauthor = {Mourad, Farah and Snoussi, Hichem and Kieffer, Michel and Richard, Cédric},\n\tbooktitle = {16th IFAC Symposium on System Identification},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: interval-based analysis},\n\tpages = {1097-1102},\n\ttitle = {Robust bounded-error tracking in wireless sensor networks},\n\turl_paper = {Articles/mourad2012robust.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Prediction of time series using Yule-Walker equations with kernels.\n \n \n \n \n\n\n \n Kallas, M.; Honeine, P.; Richard, C.; Francis, C.; and Amoud, H.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, pages 2185-2188, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Prediction paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{kallas2012prediction,\n\tauthor = {Kallas, Maya and Honeine, Paul and Richard, Cédric and Francis, Clovis and Amoud, Hassan},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {2185-2188},\n\ttitle = {Prediction of time series using Yule-Walker equations with kernels},\n\turl_paper = {Articles/kallas2012prediction.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Adaptive inverse control using kernel identification.\n \n \n \n \n\n\n \n Abelli, A.; Ferrari, A.; Monaco, S.; and Richard, C.\n\n\n \n\n\n\n In American Control Conference (ACC), 2012, pages 202-207, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Adaptive paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{abelli2012adaptive,\n\tauthor = {Abelli, Andrea and Ferrari, André and Monaco, Salvatore and Richard, Cédric},\n\tbooktitle = {American Control Conference (ACC), 2012},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\torganization = {IEEE},\n\tpages = {202-207},\n\ttitle = {Adaptive inverse control using kernel identification},\n\turl_paper = {Articles/abelli2012adaptive.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Kernels for time series of exponential decay/growth processes.\n \n \n \n \n\n\n \n Noumir, Z.; Honeine, P.; and Richard, C.\n\n\n \n\n\n\n In Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on, pages 1-6, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Kernels paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{noumir2012kernels,\n\tauthor = {Noumir, Zineb and Honeine, Paul and Richard, Cédric},\n\tbooktitle = {Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {1-6},\n\ttitle = {Kernels for time series of exponential decay/growth processes},\n\turl_paper = {Articles/noumir2012kernels.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Hyperspectral image unmixing using manifold learning methods derivations and comparative tests.\n \n \n \n \n\n\n \n Nguyen, H. N.; Richard, C.; Honeine, P.; and Theys, C.\n\n\n \n\n\n\n In Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, pages 3086-3089, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Hyperspectral paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{nguyen2012hyperspectral,\n\tauthor = {Nguyen, Hoang Nguyen and Richard, Cédric and Honeine, Paul and Theys, Céline},\n\tbooktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\torganization = {IEEE},\n\tpages = {3086-3089},\n\ttitle = {Hyperspectral image unmixing using manifold learning methods derivations and comparative tests},\n\turl_paper = {Articles/nguyen2012hyperspectral.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n On simple one-class classification methods.\n \n \n \n \n\n\n \n Noumir, Z.; Honeine, P.; and Richard, C.\n\n\n \n\n\n\n In Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on, pages 2022-2026, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"On paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{noumir2012simple,\n\tauthor = {Noumir, Zineb and Honeine, Paul and Richard, Cédric},\n\tbooktitle = {Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {classification: one-class and multiclass},\n\torganization = {IEEE},\n\tpages = {2022-2026},\n\ttitle = {On simple one-class classification methods},\n\turl_paper = {Articles/noumir2012simple.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Modeling electrocardiogram using Yule-Walker equations and kernel machines.\n \n \n \n \n\n\n \n Kallas, M.; Francis, C.; Honeine, P.; Amoud, H.; and Richard, C.\n\n\n \n\n\n\n In Telecommunications (ICT), 2012 19th International Conference on, pages 1-5, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Modeling paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{kallas2012modeling,\n\tauthor = {Kallas, Maya and Francis, Clovis and Honeine, Paul and Amoud, Hassan and Richard, Cédric},\n\tbooktitle = {Telecommunications (ICT), 2012 19th International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {1-5},\n\ttitle = {Modeling electrocardiogram using Yule-Walker equations and kernel machines},\n\turl_paper = {Articles/kallas2012modeling.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Prediction of rain attenuation series based on discretized spectral model.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; Honeine, P.; and Tourneret, J.\n\n\n \n\n\n\n In Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, pages 2407-2410, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Prediction paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{chen2012prediction,\n\tauthor = {Chen, Jie and Richard, Cédric and Honeine, Paul and Tourneret, Jean-Yves},\n\tbooktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {2407-2410},\n\ttitle = {Prediction of rain attenuation series based on discretized spectral model},\n\turl_paper = {Articles/chen2012prediction.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Dictionary adaptation for online prediction of time series data with kernels.\n \n \n \n \n\n\n \n Saidé, C.; Lengellé, R.; Honeine, P.; Richard, C.; and Achkar, R.\n\n\n \n\n\n\n In Statistical Signal Processing Workshop (SSP), 2012 IEEE, pages 604-607, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Dictionary paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{saide2012dictionary,\n\tauthor = {Saidé, Chafic and Lengellé, Régis and Honeine, Paul and Richard, Cédric and Achkar, Roger},\n\tbooktitle = {Statistical Signal Processing Workshop (SSP), 2012 IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\torganization = {IEEE},\n\tpages = {604-607},\n\ttitle = {Dictionary adaptation for online prediction of time series data with kernels},\n\turl_paper = {Articles/saide2012dictionary.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Online one-class machines based on the coherence criterion.\n \n \n \n \n\n\n \n Noumir, Z.; Honeine, P.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European, pages 664-668, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{noumir2012online,\n\tauthor = {Noumir, Zineb and Honeine, Paul and Richard, Cédric},\n\tbooktitle = {Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {classification: one-class and multiclass},\n\torganization = {IEEE},\n\tpages = {664-668},\n\ttitle = {Online one-class machines based on the coherence criterion},\n\turl_paper = {Articles/noumir2012online.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Constrained decentralized algorithm for the relative localization of wearable wireless sensor nodes.\n \n \n \n \n\n\n \n Hamie, J.; Denis, B.; and Richard, C.\n\n\n \n\n\n\n In Sensors, 2012 IEEE, pages 1-4, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Constrained paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{hamie2012constrained,\n\tauthor = {Hamie, Jihad and Denis, Benoît and Richard, Cédric},\n\tbooktitle = {Sensors, 2012 IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: on-body devices},\n\torganization = {IEEE},\n\tpages = {1-4},\n\ttitle = {Constrained decentralized algorithm for the relative localization of wearable wireless sensor nodes},\n\turl_paper = {Articles/hamie2012constrained.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n Multi-channel differencing adaptive noise cancellation based on kernel-based normalized least-mean-square algorithm.\n \n \n \n\n\n \n Huang, J.; Gao, W.; and Richard, C.\n\n\n \n\n\n\n In OCEANS, 2012, pages 1-5, 2012. IEEE\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{huang2012multi,\n\tauthor = {Huang, Jianguo and Gao, Wei and Richard, Cédric},\n\tbooktitle = {OCEANS, 2012},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {1-5},\n\ttitle = {Multi-channel differencing adaptive noise cancellation based on kernel-based normalized least-mean-square algorithm},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Empirical modeling of intra-ban ranging errors based on ir-uwb toa estimation.\n \n \n \n \n\n\n \n Hamie, J.; Denis, B.; D'Errico, R.; and Richard, C.\n\n\n \n\n\n\n In 7th International Conference on Body Area Networks (BodyNets), pages 139-144, 2012. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)\n \n\n\n\n
\n\n\n\n \n \n \"Empirical paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{hamie2012empirical,\n\tauthor = {Hamie, Jihad and Denis, Benoît and D'Errico, Roberto and Richard, Cédric},\n\tbooktitle = {7th International Conference on Body Area Networks (BodyNets)},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: on-body devices},\n\torganization = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)},\n\tpages = {139-144},\n\ttitle = {Empirical modeling of intra-ban ranging errors based on ir-uwb toa estimation},\n\turl_paper = {Articles/hamie2012empirical.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Nodes updates censoring and scheduling in constrained decentralized positioning for large-scale motion capture based on wireless body area networks.\n \n \n \n \n\n\n \n Hamie, J.; Denis, B.; and Richard, C.\n\n\n \n\n\n\n In 7th International Conference on Body Area Networks (BodyNets), pages 100-105, 2012. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)\n \n\n\n\n
\n\n\n\n \n \n \"Nodes paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{hamie2012nodes,\n\tauthor = {Hamie, Jihad and Denis, Benoît and Richard, Cédric},\n\tbooktitle = {7th International Conference on Body Area Networks (BodyNets)},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: on-body devices},\n\torganization = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)},\n\tpages = {100-105},\n\ttitle = {Nodes updates censoring and scheduling in constrained decentralized positioning for large-scale motion capture based on wireless body area networks},\n\turl_paper = {Articles/hamie2012nodes.pdf},\n\tyear = {2012}}\n\n
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\n \n\n \n \n \n \n \n \n Closed-form conditions for convergence of the Gaussian kernel-least-mean-square algorithm.\n \n \n \n \n\n\n \n Richard, C.; and Bermudez, J. M.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"Closed-form code\n  \n \n \n \"Closed-form paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard2012closed,\n\tauthor = {Richard, Cédric and Bermudez, Jose-Carlos M.},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\ttitle = {Closed-form conditions for convergence of the Gaussian kernel-least-mean-square algorithm},\n\turl_code = {Matlab/richard2012closed.zip},\n\turl_paper = {Articles/richard2012closed.pdf},\n\tyear = {2012}}\n
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\n  \n misc\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n System and method for locating a target using a tranceiver array.\n \n \n \n\n\n \n Snoussi, H.; Richard, C.; and Honeine, P.\n\n\n \n\n\n\n 2012.\n EP Patent 2,419,754\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{snoussi2012system,\n\tauthor = {Snoussi, Hichem and Richard, Cédric and Honeine, Paul},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tnote = {EP Patent 2,419,754},\n\ttitle = {System and method for locating a target using a tranceiver array},\n\tyear = {2012}}\n\n
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\n  \n 2011\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Stationnarité relative et approches connexes.\n \n \n \n \n\n\n \n Flandrin, P.; Richard, C.; Amblard, P.; Borgnat, P.; Honeine, P.; Amoud, H.; Ferrari, A.; Xiao, J.; Moghtaderi, A.; and Ramirez-Cobo, P.\n\n\n \n\n\n\n Traitement du signal, 28(6): 691-716. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"Stationnarité paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{flandrin2011stationnarite,\n\tauthor = {Flandrin, Patrick and Richard, Cédric and Amblard, Pierre-Olivier and Borgnat, Pierre and Honeine, Paul and Amoud, Hassan and Ferrari, André and Xiao, Jun and Moghtaderi, Azadeh and Ramirez-Cobo, Pepa},\n\tdate-added = {2013-04-02 16:39:28 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Traitement du signal},\n\tkeywords = {testing signal stationarity/causality},\n\tnumber = {6},\n\tpages = {691-716},\n\tpublisher = {Lavoisier},\n\ttitle = {Stationnarité relative et approches connexes},\n\turl_paper = {Articles/flandrin2011stationnarite.pdf},\n\tvolume = {28},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Preimage problem in kernel-based machine learning.\n \n \n \n \n\n\n \n Honeine, P.; and Richard, C.\n\n\n \n\n\n\n Signal Processing Magazine, IEEE, 28(2): 77-88. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"Preimage paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{honeine2011preimage,\n\tauthor = {Honeine, Paul and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing Magazine, IEEE},\n\tkeywords = {manifold learning},\n\tnumber = {2},\n\tpages = {77-88},\n\tpublisher = {IEEE},\n\ttitle = {Preimage problem in kernel-based machine learning},\n\turl_paper = {Articles/honeine2011preimage.pdf},\n\tvolume = {28},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n Channel estimation and multiple target tracking in wireless sensor networks based on quantised proximity sensors.\n \n \n \n\n\n \n Mansouri, M; Snoussi, H; and Richard, C\n\n\n \n\n\n\n Wireless Sensor Systems, IET, 1(1): 7-14. 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{mansouri2011channel,\n\tauthor = {Mansouri, M and Snoussi, H and Richard, C},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Wireless Sensor Systems, IET},\n\tkeywords = {sensor networks: variational filtering},\n\tnumber = {1},\n\tpages = {7-14},\n\tpublisher = {IET},\n\ttitle = {Channel estimation and multiple target tracking in wireless sensor networks based on quantised proximity sensors},\n\tvolume = {1},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n A robust localization algorithm for mobile sensors using belief functions.\n \n \n \n \n\n\n \n Mourad, F.; Snoussi, H.; Abdallah, F.; and Richard, C.\n\n\n \n\n\n\n Vehicular Technology, IEEE Transactions on, 60(4): 1799-1811. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{mourad2011robust1,\n\tauthor = {Mourad, Farah and Snoussi, Hichem and Abdallah, Fahed and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Vehicular Technology, IEEE Transactions on},\n\tkeywords = {sensor networks: interval-based analysis},\n\tnumber = {4},\n\tpages = {1799-1811},\n\tpublisher = {IEEE},\n\ttitle = {A robust localization algorithm for mobile sensors using belief functions},\n\turl_paper = {Articles/mourad2011robust1.pdf},\n\tvolume = {60},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Nonnegative least-mean-square algorithm.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; Bermudez, J. M.; and Honeine, P.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 59(11): 5225-5235. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"Nonnegative code\n  \n \n \n \"Nonnegative paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{chen2011nonnegative,\n\tauthor = {Chen, Jie and Richard, Cédric and Bermudez, Jose-Carlos M. and Honeine, Paul},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {adaptive filtering with constraints},\n\tnumber = {11},\n\tpages = {5225-5235},\n\tpublisher = {IEEE},\n\ttitle = {Nonnegative least-mean-square algorithm},\n\turl_code = {Matlab/chen2011nonnegative.m},\n\turl_paper = {Articles/chen2011nonnegative.pdf},\n\tvolume = {59},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Collaborative multi-target tracking in wireless sensor networks.\n \n \n \n \n\n\n \n Teng, J.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n International Journal of Systems Science, 42(9): 1427-1443. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"Collaborative paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{teng2011collaborative,\n\tauthor = {Teng, Jing and Snoussi, Hichem and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {International Journal of Systems Science},\n\tkeywords = {sensor networks: variational filtering},\n\tnumber = {9},\n\tpages = {1427-1443},\n\tpublisher = {Taylor and Francis},\n\ttitle = {Collaborative multi-target tracking in wireless sensor networks},\n\turl_paper = {Articles/teng2011collaborative.pdf},\n\tvolume = {42},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n A closed-form solution for the pre-image problem in kernel-based machines.\n \n \n \n \n\n\n \n Honeine, P.; and Richard, C.\n\n\n \n\n\n\n Journal of Signal Processing Systems, 65(3): 289-299. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{honeine2011closed,\n\tauthor = {Honeine, Paul and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Journal of Signal Processing Systems},\n\tkeywords = {manifold learning},\n\tnumber = {3},\n\tpages = {289-299},\n\tpublisher = {Springer US},\n\ttitle = {A closed-form solution for the pre-image problem in kernel-based machines},\n\turl_paper = {Articles/honeine2011closed.pdf},\n\tvolume = {65},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Interval-based localization using RSSI comparison in MANETs.\n \n \n \n \n\n\n \n Mourad, F.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n Aerospace and Electronic Systems, IEEE Transactions on, 47(4): 2897-2910. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"Interval-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{mourad2011interval1,\n\tauthor = {Mourad, Farah and Snoussi, Hichem and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Aerospace and Electronic Systems, IEEE Transactions on},\n\tkeywords = {sensor networks: interval-based analysis},\n\tnumber = {4},\n\tpages = {2897-2910},\n\tpublisher = {IEEE},\n\ttitle = {Interval-based localization using RSSI comparison in MANETs},\n\turl_paper = {Articles/mourad2011interval1.pdf},\n\tvolume = {47},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Learning general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold.\n \n \n \n \n\n\n \n Laanaya, H.; Abdallah, F.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n Pattern Recognition Letters, 32(13): 1511-1515. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"Learning paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{laanaya2011learning,\n\tauthor = {Laanaya, Hicham and Abdallah, Fahed and Snoussi, Hichem and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Pattern Recognition Letters},\n\tkeywords = {classification: one-class and multiclass},\n\tnumber = {13},\n\tpages = {1511-1515},\n\tpublisher = {Elsevier},\n\ttitle = {Learning general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold},\n\turl_paper = {Articles/laanaya2011learning.pdf},\n\tvolume = {32},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Robust interval-based localization algorithms for mobile sensor networks.\n \n \n \n \n\n\n \n Mourad, F.; Snoussi, H.; Kieffer, M.; and Richard, C.\n\n\n \n\n\n\n International Journal of Distributed Sensor Networks, 2012. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"Robust paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{mourad2011robust,\n\tauthor = {Mourad, Farah and Snoussi, Hichem and Kieffer, Michel and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {International Journal of Distributed Sensor Networks},\n\tkeywords = {sensor networks: interval-based analysis},\n\tpublisher = {Hindawi Publishing Corporation},\n\ttitle = {Robust interval-based localization algorithms for mobile sensor networks},\n\turl_paper = {Articles/mourad2011robust.pdf},\n\tvolume = {2012},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Quantized variational filtering for bayesian inference in wireless sensor networks.\n \n \n \n \n\n\n \n Mansouri, M.; Snoussi, H.; Teng, J.; Ilham, O.; and Richard, C.\n\n\n \n\n\n\n Visual Information Processing in Wireless Sensor Networks: Technology, Trends, and Applications,224. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"Quantized paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{mansouri2011quantized,\n\tauthor = {Mansouri, Majdi and Snoussi, Hichem and Teng, Jing and Ilham, Ouachani and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Visual Information Processing in Wireless Sensor Networks: Technology, Trends, and Applications},\n\tkeywords = {sensor networks: variational filtering},\n\tpages = {224},\n\tpublisher = {IGI Global Snippet},\n\ttitle = {Quantized variational filtering for bayesian inference in wireless sensor networks},\n\turl_paper = {Articles/mansouri2011quantized.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Adaptive quantized target tracking in wireless sensor networks.\n \n \n \n \n\n\n \n Mansouri, M.; Ilham, O.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n Wireless Networks, 17(7): 1625-1639. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"Adaptive paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{mansouri2011adaptive,\n\tauthor = {Mansouri, Majdi and Ilham, Ouachani and Snoussi, Hichem and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Wireless Networks},\n\tkeywords = {sensor networks: variational filtering},\n\tnumber = {7},\n\tpages = {1625-1639},\n\tpublisher = {Springer US},\n\ttitle = {Adaptive quantized target tracking in wireless sensor networks},\n\turl_paper = {Articles/mansouri2011adaptive.pdf},\n\tvolume = {17},\n\tyear = {2011}}\n\n
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\n  \n inproceedings\n \n \n (27)\n \n \n
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\n \n\n \n \n \n \n \n \n Minimisation d'une forme générale de divergence sous contrainte de non-négativité Application à la factorisation en matrices non-négatives.\n \n \n \n \n\n\n \n Lantéri, H.; Theys, C.; and Richard, C.\n\n\n \n\n\n\n In Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"Minimisation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lanteri2011minimisation,\n\tauthor = {Lantéri, Henri and Theys, Céline and Richard, Cédric},\n\tbooktitle = {Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-added = {2013-04-21 13:51:53 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Minimisation d'une forme générale de divergence sous contrainte de non-négativité Application à la factorisation en matrices non-négatives},\n\turl_paper = {Articles/lanteri2011minimisation.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Stochastic behavior analysis of the Gaussian kernel least-mean-square algorithm.\n \n \n \n \n\n\n \n Parreira, W. D.; Bermudez, J. M.; Richard, C.; and Tourneret, J.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, pages 4116-4119, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Stochastic paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{parreira2011stochastic,\n\tauthor = {Parreira, Wemerson D. and Bermudez, Jose-Carlos M. and Richard, Cédric and Tourneret, Jean-Yves},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\tpages = {4116-4119},\n\tpublisher = {IEEE},\n\ttitle = {Stochastic behavior analysis of the Gaussian kernel least-mean-square algorithm},\n\turl_paper = {Articles/parreira2011stochastic.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n A novel kernel-based nonlinear unmixing scheme of hyperspectral images.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Honeine, P.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on, pages 1898-1902, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"A code\n  \n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2011novel,\n\tauthor = {Chen, Jie and Richard, Cédric and Honeine, Paul},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\torganization = {IEEE},\n\tpages = {1898-1902},\n\ttitle = {A novel kernel-based nonlinear unmixing scheme of hyperspectral images},\n\turl_code = {Matlab/chen2011novel.m},\n\turl_paper = {Articles/chen2011novel.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Abnormal events detection using unsupervised One-Class SVM-Application to audio surveillance and evaluation.\n \n \n \n \n\n\n \n Lecomte, S.; Lengellé, R.; Richard, C.; Capman, F; and Ravera, B\n\n\n \n\n\n\n In Advanced Video and Signal-Based Surveillance (AVSS), 2011 8th IEEE International Conference on, pages 124-129, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Abnormal paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lecomte2011abnormal,\n\tauthor = {Lecomte, Sébastien and Lengellé, Régis and Richard, Cédric and Capman, F and Ravera, B},\n\tbooktitle = {Advanced Video and Signal-Based Surveillance (AVSS), 2011 8th IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {124-129},\n\ttitle = {Abnormal events detection using unsupervised One-Class SVM-Application to audio surveillance and evaluation},\n\turl_paper = {Articles/lecomte2011abnormal.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Non-negative pre-image in machine learning for pattern recognition.\n \n \n \n \n\n\n \n Kallas, M.; Honeine, P.; Richard, C.; Francis, C.; and Amoud, H.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), European Conference on, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"Non-negative paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{kallas2011non,\n\tauthor = {Kallas, Maya and Honeine, Paul and Richard, Cédric and Francis, Clovis and Amoud, Hassan},\n\tbooktitle = {Signal Processing (EUSIPCO), European Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Non-negative pre-image in machine learning for pattern recognition},\n\turl_paper = {Articles/kallas2011non.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Multi-class least squares classification at binary-classification complexity.\n \n \n \n \n\n\n \n Noumir, Z.; Honeine, P.; and Richard, C.\n\n\n \n\n\n\n In Statistical Signal Processing Workshop (SSP), 2011 IEEE, pages 277-280, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Multi-class paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{noumir2011multi,\n\tauthor = {Noumir, Zineb and Honeine, Paul and Richard, Cédric},\n\tbooktitle = {Statistical Signal Processing Workshop (SSP), 2011 IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {classification: one-class and multiclass},\n\torganization = {IEEE},\n\tpages = {277-280},\n\ttitle = {Multi-class least squares classification at binary-classification complexity},\n\turl_paper = {Articles/noumir2011multi.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n Quantized variational filtering for target tracking and relay localization in sensor networks.\n \n \n \n\n\n \n Mansouri, M.; Khoukhi, L.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Wireless Communications and Mobile Computing Conference (IWCMC), 2011 7th International, pages 1837-1842, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mansouri2011quantized-1,\n\tauthor = {Mansouri, Majdi and Khoukhi, Lyes and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Wireless Communications and Mobile Computing Conference (IWCMC), 2011 7th International},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {1837-1842},\n\ttitle = {Quantized variational filtering for target tracking and relay localization in sensor networks},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Classification multi-classes au prix d'un classifieur binaire.\n \n \n \n \n\n\n \n Noumir, Z.; Honeine, P.; and Richard, C.\n\n\n \n\n\n\n In Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"Classification paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{noumir2011classification,\n\tauthor = {Noumir, Zineb and Honeine, Paul and Richard, Cédric},\n\tbooktitle = {Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Classification multi-classes au prix d'un classifieur binaire},\n\turl_paper = {Articles/noumir2011classification.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n A single-target tracking algorithm in controlled mobility sensor networks.\n \n \n \n \n\n\n \n Mourad, F.; Chehade, H.; Snoussi, H.; Yalaoui, F.; Amodéo, L.; and Richard, C.\n\n\n \n\n\n\n In Systems, Signal Processing and their Applications (WOSSPA), 2011 7th International Workshop on, pages 371-374, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mourad2011single,\n\tauthor = {Mourad, Farah and Chehade, Hicham and Snoussi, Hichem and Yalaoui, Farouk and Amodéo, Lionel and Richard, Cédric},\n\tbooktitle = {Systems, Signal Processing and their Applications (WOSSPA), 2011 7th International Workshop on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: interval-based analysis},\n\torganization = {IEEE},\n\tpages = {371-374},\n\ttitle = {A single-target tracking algorithm in controlled mobility sensor networks},\n\turl_paper = {Articles/mourad2011single.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Regularized split gradient method for nonnegative matrix factorization.\n \n \n \n \n\n\n \n Lantéri, H.; Theys, C.; Richard, C.; and Mary, D.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, pages 1133-1136, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Regularized paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lanteri2011regularized,\n\tauthor = {Lantéri, Henri and Theys, Céline and Richard, Cédric and Mary, David},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {1133-1136},\n\ttitle = {Regularized split gradient method for nonnegative matrix factorization},\n\turl_paper = {Articles/lanteri2011regularized.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Kernel-based autoregressive modeling with a pre-image technique.\n \n \n \n \n\n\n \n Kallas, M.; Honeine, P.; Richard, C.; Francis, C.; and Amoud, H.\n\n\n \n\n\n\n In Statistical Signal Processing Workshop (SSP), 2011 IEEE, pages 281-284, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Kernel-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{kallas2011kernel,\n\tauthor = {Kallas, Maya and Honeine, Paul and Richard, Cédric and Francis, Clovis and Amoud, Hassan},\n\tbooktitle = {Statistical Signal Processing Workshop (SSP), 2011 IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {281-284},\n\ttitle = {Kernel-based autoregressive modeling with a pre-image technique},\n\turl_paper = {Articles/kallas2011kernel.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n A gradient based method for fully constrained least-squares unmixing of hyperspectral images.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; Lantéri, H.; Theys, C.; and Honeine, P.\n\n\n \n\n\n\n In Statistical Signal Processing Workshop (SSP), 2011 IEEE, pages 301-304, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2011gradient,\n\tauthor = {Chen, Jie and Richard, Cédric and Lantéri, Henri and Theys, Céline and Honeine, Paul},\n\tbooktitle = {Statistical Signal Processing Workshop (SSP), 2011 IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\torganization = {IEEE},\n\tpages = {301-304},\n\ttitle = {A gradient based method for fully constrained least-squares unmixing of hyperspectral images},\n\turl_paper = {Articles/chen2011gradient.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Machines à vecteur de support 1-classe (OC-SVM) pour la détection non supervisée d'événements sonores anormaux.\n \n \n \n \n\n\n \n Lecomte, S.; Richard, C.; Lengellé, R.; Capman, F.; and Ravera, B.\n\n\n \n\n\n\n In Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"Machines paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lecomte2011machines,\n\tauthor = {Lecomte, Sébastien and Richard, Cédric and Lengellé, Régis and Capman, Francois and Ravera, Bertrand},\n\tbooktitle = {Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Machines à vecteur de support 1-classe (OC-SVM) pour la détection non supervisée d'événements sonores anormaux},\n\turl_paper = {Articles/lecomte2011machines.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Self-localization and target tracking in mobile sensor networks.\n \n \n \n \n\n\n \n Mourad, F.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Small Workshop on Interval Methods (SWIM), 2011, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"Self-localization paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mourad2011self,\n\tauthor = {Mourad, Farah and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Small Workshop on Interval Methods (SWIM), 2011},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: interval-based analysis},\n\ttitle = {Self-localization and target tracking in mobile sensor networks},\n\turl_paper = {Articles/mourad2011self.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n Robust distributed target tracking in Wireless Sensor Networks based on multi-objective optimization.\n \n \n \n\n\n \n Mansouri, M.; Hnaien, F.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Statistical Signal Processing Workshop (SSP), 2011 IEEE, pages 69-72, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mansouri2011robust,\n\tauthor = {Mansouri, Majdi and Hnaien, Faicel and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Statistical Signal Processing Workshop (SSP), 2011 IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {69-72},\n\ttitle = {Robust distributed target tracking in Wireless Sensor Networks based on multi-objective optimization},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n A modified non-negative LMS algorithm and its stochastic behavior analysis.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; Bermudez, J. M.; and Honeine, P.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on, pages 542-546, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"A code\n  \n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2011modified,\n\tauthor = {Chen, Jie and Richard, Cédric and Bermudez, Jose-Carlos M. and Honeine, Paul},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {adaptive filtering with constraints},\n\torganization = {IEEE},\n\tpages = {542-546},\n\ttitle = {A modified non-negative LMS algorithm and its stochastic behavior analysis},\n\turl_code = {Matlab/chen2011modified.m},\n\turl_paper = {Articles/chen2011modified.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Interval-based localization for mobile sensors in low-anchors density networks.\n \n \n \n \n\n\n \n Mourad, F.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Wireless Communications and Mobile Computing Conference (IWCMC), 2011 7th International, pages 1843-1848, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Interval-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mourad2011interval,\n\tauthor = {Mourad, Farah and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Wireless Communications and Mobile Computing Conference (IWCMC), 2011 7th International},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: interval-based analysis},\n\torganization = {IEEE},\n\tpages = {1843-1848},\n\ttitle = {Interval-based localization for mobile sensors in low-anchors density networks},\n\turl_paper = {Articles/mourad2011interval.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Nonnegative matrix factorization with regularization and sparsity-enforcing terms.\n \n \n \n \n\n\n \n Lantéri, H.; Theys, C.; and Richard, C.\n\n\n \n\n\n\n In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011 IEEE International Workshop on, pages 97-100, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Nonnegative paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lanteri2011nonnegative,\n\tauthor = {Lantéri, Henri and Theys, Céline and Richard, Cédric},\n\tbooktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011 IEEE International Workshop on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {97-100},\n\ttitle = {Nonnegative matrix factorization with regularization and sparsity-enforcing terms},\n\turl_paper = {Articles/lanteri2011nonnegative.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Transitional surrogates.\n \n \n \n \n\n\n \n Borgnat, P.; Flandrin, P.; Ferrari, A.; and Richard, C.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, pages 3600-3603, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Transitional paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{borgnat2011transitional,\n\tauthor = {Borgnat, Pierre and Flandrin, Patrick and Ferrari, André and Richard, Cédric},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {testing signal stationarity/causality},\n\torganization = {IEEE},\n\tpages = {3600-3603},\n\ttitle = {Transitional surrogates},\n\turl_paper = {Articles/borgnat2011transitional.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectales.\n \n \n \n \n\n\n \n Honeine, P.; and Richard, C.\n\n\n \n\n\n\n In Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"Approches paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2011approches,\n\tauthor = {Honeine, Paul and Richard, Cédric},\n\tbooktitle = {Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectales},\n\turl_paper = {Articles/honeine2011approches.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Filtrage adaptatif avec contrainte de non-négativité. Principes de l'algorithme NN-LMS et modèle de convergence.\n \n \n \n \n\n\n \n Richard, C.; Chen, J.; Bermudez, J. M.; and Honeine, P.\n\n\n \n\n\n\n In Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"Filtrage paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard2011filtrage,\n\tauthor = {Richard, Cédric and Chen, Jie and Bermudez, Jose-Carlos M. and Honeine, Paul},\n\tbooktitle = {Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {adaptive filtering with constraints},\n\ttitle = {Filtrage adaptatif avec contrainte de non-négativité. Principes de l'algorithme NN-LMS et modèle de convergence},\n\turl_paper = {Articles/richard2011filtrage.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Un nouveau paradigme pour le démélange non-linéaire des images hyperspectrales.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; and Honeine, P.\n\n\n \n\n\n\n In Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"Un paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2011nouveau,\n\tauthor = {Chen, Jie and Richard, Cédric and Honeine, Paul},\n\tbooktitle = {Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\ttitle = {Un nouveau paradigme pour le démélange non-linéaire des images hyperspectrales},\n\turl_paper = {Articles/chen2011nouveau.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Optimal path selection for quantized target tracking in distributed sensor networks.\n \n \n \n \n\n\n \n Mansouri, M.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Wireless Communications and Mobile Computing Conference (IWCMC), 2011 7th International, pages 1849-1853, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Optimal paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mansouri2011optimal,\n\tauthor = {Mansouri, Majdi and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Wireless Communications and Mobile Computing Conference (IWCMC), 2011 7th International},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {1849-1853},\n\ttitle = {Optimal path selection for quantized target tracking in distributed sensor networks},\n\turl_paper = {Articles/mansouri2011optimal.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n One Class Support Vector Machines for audio abnormal events detection.\n \n \n \n \n\n\n \n Lecomte, S.; Lengellé, R.; Richard, C.; and Capman, F.\n\n\n \n\n\n\n In Statistical Signal Processing Workshop (SSP), 2011 IEEE, pages 489-492, 2011. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"One paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lecomte2011one,\n\tauthor = {Lecomte, Sébastien and Lengellé, Régis and Richard, Cédric and Capman, Francois},\n\tbooktitle = {Statistical Signal Processing Workshop (SSP), 2011 IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {489-492},\n\ttitle = {One Class Support Vector Machines for audio abnormal events detection},\n\turl_paper = {Articles/lecomte2011one.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Online system identification under non-negativity and l1-norm constraints. Algorithm and weight behavior analysis.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; Lantéri, H.; Theys, C.; and Honeine, P.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 19th European Conference on, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2011online,\n\tauthor = {Chen, Jie and Richard, Cédric and Lantéri, Henri and Theys, Céline and Honeine, Paul},\n\tbooktitle = {Signal Processing (EUSIPCO), 19th European Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {adaptive filtering with constraints},\n\ttitle = {Online system identification under non-negativity and l1-norm constraints. Algorithm and weight behavior analysis},\n\turl_paper = {Articles/chen2011online.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Modèle autorégressif non-linéaire à noyau : une première approche.\n \n \n \n \n\n\n \n Kallas, M.; Honeine, P.; Richard, C.; Francis, C.; and Amoud, H.\n\n\n \n\n\n\n In Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"Modèle paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{kallas2011modele,\n\tauthor = {Kallas, Maya and Honeine, Paul and Richard, Cédric and Francis, Clovis and Amoud, Hassan},\n\tbooktitle = {Actes du 23e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Modèle autorégressif non-linéaire à noyau : une première approche},\n\turl_paper = {Articles/kallas2011modele.pdf},\n\tyear = {2011}}\n\n
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\n \n\n \n \n \n \n \n \n Steady-state behavior and design of the gaussian KLMS algorithm.\n \n \n \n \n\n\n \n Parreira, W. D.; Bermudez, J. M.; Richard, C.; and Tourneret, J.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 19th European Conference on, pages 121-125, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"Steady-state paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{parreira2011steady,\n\tauthor = {Parreira, Wemerson D. and Bermudez, Jose-Carlos M. and Richard, Cédric and Tourneret, Jean-Yves},\n\tbooktitle = {Signal Processing (EUSIPCO), 19th European Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\tpages = {121-125},\n\ttitle = {Steady-state behavior and design of the gaussian KLMS algorithm},\n\turl_paper = {Articles/parreira2011steady.pdf},\n\tyear = {2011}}\n\n
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\n  \n 2010\n \n \n (4)\n \n \n
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\n  \n article\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n A decentralized approach for nonlinear prediction of time series data in sensor networks.\n \n \n \n \n\n\n \n Honeine, P.; Richard, C.; Bermudez, J. M.; Chen, J.; and Snoussi, H.\n\n\n \n\n\n\n EURASIP Journal on Wireless Communications and Networking, 2010(1): 1687-1499. 2010.\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{honeine2010decentralized,\n\tauthor = {Honeine, Paul and Richard, Cédric and Bermudez, Jose-Carlos M. and Chen, Jie and Snoussi, Hichem},\n\tdate-added = {2013-04-03 08:53:13 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tdoi = {10.1155/2010/627372},\n\tissn = {1687-1499},\n\tjournal = {EURASIP Journal on Wireless Communications and Networking},\n\tkeywords = {sensor networks: distributed learning},\n\tnumber = {1},\n\tpages = {1687-1499},\n\ttitle = {A decentralized approach for nonlinear prediction of time series data in sensor networks},\n\turl_paper = {Articles/honeine2010decentralized.pdf},\n\tvolume = {2010},\n\tyear = {2010},\n\tbdsk-url-1 = {https://doi.org/10.1155/2010/627372}}\n\n
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\n \n\n \n \n \n \n \n \n Testing stationarity with surrogates: A time-frequency approach.\n \n \n \n \n\n\n \n Borgnat, P.; Flandrin, P.; Honeine, P.; Richard, C.; and Xiao, J.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 58(7): 3459-3470. 2010.\n \n\n\n\n
\n\n\n\n \n \n \"Testing paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{borgnat2010testing,\n\tauthor = {Borgnat, Pierre and Flandrin, Patrick and Honeine, Paul and Richard, Cédric and Xiao, Jun},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {testing signal stationarity/causality},\n\tnumber = {7},\n\tpages = {3459-3470},\n\tpublisher = {IEEE},\n\ttitle = {Testing stationarity with surrogates: A time-frequency approach},\n\turl_paper = {Articles/borgnat2010testing.pdf},\n\tvolume = {58},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n \n Decentralized variational filtering for target tracking in binary sensor networks.\n \n \n \n \n\n\n \n Teng, J.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n Mobile Computing, IEEE Transactions on, 9(10): 1465-1477. 2010.\n \n\n\n\n
\n\n\n\n \n \n \"Decentralized paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{teng2010decentralized,\n\tauthor = {Teng, Jing and Snoussi, Hichem and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Mobile Computing, IEEE Transactions on},\n\tkeywords = {sensor networks: variational filtering},\n\tnumber = {10},\n\tpages = {1465-1477},\n\tpublisher = {IEEE},\n\ttitle = {Decentralized variational filtering for target tracking in binary sensor networks},\n\turl_paper = {Articles/teng2010decentralized.pdf},\n\tvolume = {9},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n \n Factors that may influence the performance of wireless sensor networks.\n \n \n \n \n\n\n \n Mansouri, M.; Sardouk, A.; Merghem-Boulahia, L.; Gaiti, D.; Snoussi, H.; Rahim-Amoud, R.; and Richard, C.\n\n\n \n\n\n\n Smart wireless sensor networks. Chinh, H. D.; and Tan, Y. K., editor(s). INTECH, 2010.\n \n\n\n\n
\n\n\n\n \n \n \"Smart paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inbook{mansouri2010factors,\n\tauthor = {Mansouri, Majdi and Sardouk, Ahmad and Merghem-Boulahia, Leila and Gaiti, Dominique and Snoussi, Hichem and Rahim-Amoud, Rana and Richard, Cédric},\n\tchapter = {Factors that may influence the performance of wireless sensor networks},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\teditor = {Chinh, Hoang Duc and Tan, Yen Kheng},\n\tkeywords = {sensor networks: variational filtering},\n\tnumber = {2},\n\tpublisher = {INTECH},\n\ttitle = {Smart wireless sensor networks},\n\turl_paper = {Articles/mansouri2010factors.pdf},\n\tyear = {2010}}\n\n
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\n  \n inproceedings\n \n \n (15)\n \n \n
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\n \n\n \n \n \n \n \n Optimal path and sensor selection for target tracking in wireless sensor networks.\n \n \n \n\n\n \n Mansouri, M.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Maxent, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mansouri2009optimal,\n\tauthor = {Mansouri, Majdi and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Maxent},\n\tdate-added = {2013-04-04 08:40:59 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\ttitle = {Optimal path and sensor selection for target tracking in wireless sensor networks},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n Transductive kernel matrix learning with hierarchic Bayesian model. Application to hyperspectral Imaging.\n \n \n \n\n\n \n Ferrari, A.; Richard, C.; Smith, I.; and Theys, C.\n\n\n \n\n\n\n In Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{ferrari2010transductive,\n\tauthor = {Ferrari, André and Richard, Cédric and Smith, Isabelle and Theys, Céline},\n\tbooktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International},\n\tdate-added = {2013-04-04 07:12:19 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Transductive kernel matrix learning with hierarchic Bayesian model. Application to hyperspectral Imaging.},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n \n Non-linear adaptive filtering with kernel functions: an overview.\n \n \n \n \n\n\n \n Liu, W.; Richard, C.; Principe, J.; and Haykin, S.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2010 Forty Fourth Asilomar Conference on, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"Non-linear paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{lui2010nonlinear,\n\tauthor = {Liu, Weifeng and Richard, Cédric and Principe, José and Haykin, Simon},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2010 Forty Fourth Asilomar Conference on},\n\tdate-added = {2013-04-03 16:04:03 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\ttitle = {Non-linear adaptive filtering with kernel functions: an overview},\n\turl_paper = {Articles/lui2010nonlinear.pdf},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n \n Statistical hypothesis testing with time-frequency surrogates to check signal stationarity.\n \n \n \n \n\n\n \n Richard, C.; Ferrari, A.; Amoud, H.; Honeine, P.; Flandrin, P.; and Borgnat, P.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on, pages 3666-3669, 2010. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Statistical paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard2010statistical,\n\tauthor = {Richard, Cédric and Ferrari, André and Amoud, Hassan and Honeine, Paul and Flandrin, Patrick and Borgnat, Pierre},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {testing signal stationarity/causality},\n\torganization = {IEEE},\n\tpages = {3666-3669},\n\ttitle = {Statistical hypothesis testing with time-frequency surrogates to check signal stationarity},\n\turl_paper = {Articles/richard2010statistical.pdf},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n \n Split gradient method for nonnegative matrix factorization.\n \n \n \n \n\n\n \n Lantéri, H.; Theys, C.; Richard, C.; and Févotte, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 18th European Conference on, 2010. EURASIP\n \n\n\n\n
\n\n\n\n \n \n \"Split paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lanteri2010split,\n\tauthor = {Lantéri, Henri and Theys, Céline and Richard, Cédric and Févotte, Cédric},\n\tbooktitle = {Signal Processing (EUSIPCO), 18th European Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tpublisher = {EURASIP},\n\ttitle = {Split gradient method for nonnegative matrix factorization},\n\turl_paper = {Articles/lanteri2010split.pdf},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n \n System identification under non-negativity constraints.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; Honeine, P.; Lantéri, H.; and Theys, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 18th European Conference on, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"System paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2010system,\n\tauthor = {Chen, Jie and Richard, Cédric and Honeine, Paul and Lantéri, Henri and Theys, Céline},\n\tbooktitle = {Signal Processing (EUSIPCO), 18th European Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {adaptive filtering with constraints},\n\ttitle = {System identification under non-negativity constraints},\n\turl_paper = {Articles/chen2010system.pdf},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n \n Nonlinear feature extraction using kernel principal component analysis with non-negative pre-image.\n \n \n \n \n\n\n \n Kallas, M.; Honeine, P.; Richard, C.; Amoud, H.; and Francis, C.\n\n\n \n\n\n\n In Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, pages 3642-3645, 2010. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Nonlinear paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{kallas2010nonlinear,\n\tauthor = {Kallas, Maya and Honeine, Paul and Richard, Cédric and Amoud, Hassan and Francis, Clovis},\n\tbooktitle = {Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {3642-3645},\n\ttitle = {Nonlinear feature extraction using kernel principal component analysis with non-negative pre-image},\n\turl_paper = {Articles/kallas2010nonlinear.pdf},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n \n The angular kernel in machine learning for hyperspectral data classification.\n \n \n \n \n\n\n \n Honeine, P.; and Richard, C.\n\n\n \n\n\n\n In Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on, pages 1-4, 2010. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"The paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2010angular,\n\tauthor = {Honeine, Paul and Richard, Cédric},\n\tbooktitle = {Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\torganization = {IEEE},\n\tpages = {1-4},\n\ttitle = {The angular kernel in machine learning for hyperspectral data classification},\n\turl_paper = {Articles/honeine2010angular.pdf},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n \n A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex.\n \n \n \n \n\n\n \n Honeine, P.; and Richard, C.\n\n\n \n\n\n\n In Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, pages 2271-2274, 2010. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2010simple,\n\tauthor = {Honeine, Paul and Richard, Cédric},\n\tbooktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {hyperspectral data unmixing},\n\torganization = {IEEE},\n\tpages = {2271-2274},\n\ttitle = {A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex},\n\turl_paper = {Articles/honeine2010simple.pdf},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed learning with kernels in wireless sensor networks for physical phenomena modeling and tracking.\n \n \n \n \n\n\n \n Richard, C.; Honeine, P.; Snoussi, H.; Ferrari, A.; and Theys, C.\n\n\n \n\n\n\n In Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard2010distributed,\n\tauthor = {Richard, Cédric and Honeine, Paul and Snoussi, Hichem and Ferrari, André and Theys, Céline},\n\tbooktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Distributed learning with kernels in wireless sensor networks for physical phenomena modeling and tracking},\n\turl_paper = {Articles/richard2010distributed.pdf},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n Robust target tracking with quantized proximity sensors.\n \n \n \n\n\n \n Mansouri, M.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Wireless Pervasive Computing (ISWPC), 2010 5th IEEE International Symposium on, pages 278-282, 2010. IEEE\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mansouri2010robust,\n\tauthor = {Mansouri, Majdi and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Wireless Pervasive Computing (ISWPC), 2010 5th IEEE International Symposium on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {278-282},\n\ttitle = {Robust target tracking with quantized proximity sensors},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n \n Techniques d'apprentissage non-linéaires en ligne avec contraintes de positivité.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; Honeine, P.; Snoussi, H.; Lantéri, H.; and Theys, C.\n\n\n \n\n\n\n In Actes de la 5e Conférence Internationale Francophone d'Automatique (CIFA), 2010. \n \n\n\n\n
\n\n\n\n \n \n \"Techniques paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{chen2010techniques,\n\tauthor = {Chen, Jie and Richard, Cédric and Honeine, Paul and Snoussi, Hichem and Lantéri, Henri and Theys, Céline},\n\tbooktitle = {Actes de la 5e Conférence Internationale Francophone d'Automatique (CIFA)},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {adaptive filtering with constraints},\n\ttitle = {Techniques d'apprentissage non-linéaires en ligne avec contraintes de positivité},\n\turl_paper = {Articles/chen2010techniques.pdf},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n \n Non-negative distributed regression for data inference in wireless sensor networks.\n \n \n \n \n\n\n \n Chen, J.; Richard, C.; Honeine, P.; and Bermudez, J. M.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2010 Forty Fourth Asilomar Conference on, pages 451-455, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"Non-negative paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{chen2010non,\n\tauthor = {Chen, Jie and Richard, Cédric and Honeine, Paul and Bermudez, Jose-Carlos M.},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2010 Forty Fourth Asilomar Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {adaptive filtering with constraints, kernel adaptive filtering, sensor networks: distributed learning},\n\tpages = {451-455},\n\ttitle = {Non-negative distributed regression for data inference in wireless sensor networks},\n\turl_paper = {Articles/chen2010non.pdf},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n Joint multiple target tracking and channel estimation in wireless sensor networks.\n \n \n \n\n\n \n Mansouri, M.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE, pages 1-5, 2010. IEEE\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mansouri2010joint,\n\tauthor = {Mansouri, Majdi and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {1-5},\n\ttitle = {Joint multiple target tracking and channel estimation in wireless sensor networks},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n A sensor selection method for target tracking in wireless sensor networks using quantized variational filtering.\n \n \n \n\n\n \n Mansouri, M.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd, pages 1-5, 2010. IEEE\n \n\n\n\n
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@inproceedings{mansouri2010sensor,\n\tauthor = {Mansouri, Majdi and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {1-5},\n\ttitle = {A sensor selection method for target tracking in wireless sensor networks using quantized variational filtering},\n\tyear = {2010}}\n\n
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\n  \n misc\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n System and method for locating a target using a tranceiver array.\n \n \n \n\n\n \n Snoussi, H.; Richard, C.; and Honeine, P.\n\n\n \n\n\n\n 2010.\n US Patent App. 13/264,719\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{snoussi2010system,\n\tauthor = {Snoussi, Hichem and Richard, Cédric and Honeine, Paul},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tnote = {US Patent App. 13/264,719},\n\tpublisher = {Google Patents},\n\ttitle = {System and method for locating a target using a tranceiver array},\n\tyear = {2010}}\n\n
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\n \n\n \n \n \n \n \n \n Online prediction of time series data with kernels.\n \n \n \n \n\n\n \n Richard, C.; Bermudez, J. M.; and Honeine, P.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 57(3): 1058-1067. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"Online code\n  \n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 9 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{richard2009online,\n\tauthor = {Richard, Cédric and Bermudez, Jose-Carlos M. and Honeine, Paul},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {kernel adaptive filtering},\n\tnumber = {3},\n\tpages = {1058-1067},\n\tpublisher = {IEEE},\n\ttitle = {Online prediction of time series data with kernels},\n\turl_code = {Matlab/richard2009online.zip},\n\turl_paper = {Articles/richard2009online.pdf},\n\tvolume = {57},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Anchor-based localization via interval analysis for mobile ad-hoc sensor networks.\n \n \n \n \n\n\n \n Mourad, F.; Snoussi, H.; Abdallah, F.; and Richard, C.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 57(8): 3226-3239. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"Anchor-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{mourad2009anchor,\n\tauthor = {Mourad, Farah and Snoussi, Hichem and Abdallah, Fahed and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {sensor networks: interval-based analysis},\n\tnumber = {8},\n\tpages = {3226-3239},\n\tpublisher = {IEEE},\n\ttitle = {Anchor-based localization via interval analysis for mobile ad-hoc sensor networks},\n\turl_paper = {Articles/mourad2009anchor.pdf},\n\tvolume = {57},\n\tyear = {2009}}\n\n
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\n  \n inbook\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Nonstationary signal analysis with kernel machines.\n \n \n \n \n\n\n \n Honeine, P.; Richard, C.; and Flandrin, P.\n\n\n \n\n\n\n Nonstationary signal analysis with kernel machines, pages 223. Information Science Publishing, 2009.\n \n\n\n\n
\n\n\n\n \n \n \"Nonstationary paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inbook{honeine2009nonstationary,\n\tauthor = {Honeine, Paul and Richard, Cédric and Flandrin, Patrick},\n\tchapter = {Nonstationary signal analysis with kernel machines},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques},\n\tkeywords = {time-frequency analysis},\n\tnumber = {10},\n\tpages = {223},\n\tpublisher = {Information Science Publishing},\n\ttitle = {Nonstationary signal analysis with kernel machines},\n\turl_paper = {Articles/honeine2009nonstationary.pdf},\n\tyear = {2009}}\n\n
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\n  \n inproceedings\n \n \n (19)\n \n \n
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\n \n\n \n \n \n \n \n \n Adaptive quantized target tracking in wireless sensor networks.\n \n \n \n \n\n\n \n Mansouri, M.; Snoussi, H.; Ouachani, I.; and Richard, C.\n\n\n \n\n\n\n In Cyber-Physical and Sensor Networks (SensorNets), The first International School on, 2009. \n \n\n\n\n
\n\n\n\n \n \n \"Adaptive paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mansouri2009adaptive,\n\tauthor = {Mansouri, Majdi and Snoussi, Hichem and Ouachani, Ilham and Richard, Cédric},\n\tbooktitle = {Cyber-Physical and Sensor Networks (SensorNets), The first International School on},\n\tdate-added = {2013-04-04 08:37:43 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\ttitle = {Adaptive quantized target tracking in wireless sensor networks},\n\turl_paper = {mansouri2009adaptive.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Cramer-Rao bound-based adaptive quantization for target tracking in wireless sensor networks.\n \n \n \n \n\n\n \n Mansouri, M.; Ouachani, I.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Statistical Signal Processing Workshop (SSP), 2009 IEEE, pages 693-696, 2009. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Cramer-Rao paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mansouri2009cramer,\n\tauthor = {Mansouri, Majdi and Ouachani, Ilham and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Statistical Signal Processing Workshop (SSP), 2009 IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {693-696},\n\ttitle = {Cramer-Rao bound-based adaptive quantization for target tracking in wireless sensor networks},\n\turl_paper = {Articles/mansouri2009cramer.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Solving the pre-image problem in kernel machines: A direct method.\n \n \n \n \n\n\n \n Honeine, P.; and Richard, C.\n\n\n \n\n\n\n In Machine Learning for Signal Processing (MLSP), 2009 IEEE International Workshop on, pages 1-6, 2009. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Solving paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2009solving,\n\tauthor = {Honeine, Paul and Richard, Cédric},\n\tbooktitle = {Machine Learning for Signal Processing (MLSP), 2009 IEEE International Workshop on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {manifold learning},\n\torganization = {IEEE},\n\tpages = {1-6},\n\ttitle = {Solving the pre-image problem in kernel machines: A direct method},\n\turl_paper = {Articles/honeine2009solving.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Functional estimation in Hilbert space for distributed learning in wireless sensor networks.\n \n \n \n \n\n\n \n Honeine, P.; Richard, C.; Bermudez, J. M.; Snoussi, H.; Essoloh, M.; and Vincent, F.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing (ICASSP), 2009 IEEE International Conference on, pages 2861-2864, 2009. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Functional paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2009functional,\n\tauthor = {Honeine, Paul and Richard, Cédric and Bermudez, Jose-Carlos M. and Snoussi, Hichem and Essoloh, Mehdi and Vincent, Francois},\n\tbooktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2009 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\torganization = {IEEE},\n\tpages = {2861-2864},\n\ttitle = {Functional estimation in Hilbert space for distributed learning in wireless sensor networks},\n\turl_paper = {Articles/honeine2009functional.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks.\n \n \n \n \n\n\n \n Teng, J.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2009 IEEE International Conference on, pages 2233-2236, 2009. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Decentralized paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{teng2009decentralized,\n\tauthor = {Teng, Jing and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2009 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {2233-2236},\n\ttitle = {Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks},\n\turl_paper = {Articles/teng2009decentralized.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Monte Carlo tracking on the Riemannian manifold of multivariate normal distributions.\n \n \n \n \n\n\n \n Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Digital Signal Processing Workshop, 2009. DSP/SPE 2009. IEEE 13th, pages 280-285, 2009. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Monte paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{snoussi2009monte,\n\tauthor = {Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Digital Signal Processing Workshop, 2009. DSP/SPE 2009. IEEE 13th},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {280-285},\n\ttitle = {Monte Carlo tracking on the Riemannian manifold of multivariate normal distributions},\n\turl_paper = {Articles/snoussi2009monte.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Model-free interval-based localization in manets.\n \n \n \n \n\n\n \n Mourad, F.; Snoussi, H.; Abdallah, F.; and Richard, C.\n\n\n \n\n\n\n In Digital Signal Processing Workshop, 2009. DSP/SPE 2009. IEEE 13th, pages 474-479, 2009. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Model-free paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mourad2009model,\n\tauthor = {Mourad, Farah and Snoussi, Hichem and Abdallah, Fahed and Richard, Cédric},\n\tbooktitle = {Digital Signal Processing Workshop, 2009. DSP/SPE 2009. IEEE 13th},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: interval-based analysis},\n\torganization = {IEEE},\n\tpages = {474-479},\n\ttitle = {Model-free interval-based localization in manets},\n\turl_paper = {Articles/mourad2009model.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Time-frequency learning machines for nonstationarity detection using surrogates.\n \n \n \n \n\n\n \n Amoud, H.; Honeine, P.; Richard, C.; Borgnat, P.; and Flandrin, P.\n\n\n \n\n\n\n In Statistical Signal Processing Workshop (SSP), 2009 IEEE, pages 565-568, 2009. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Time-frequency paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{amoud2009time,\n\tauthor = {Amoud, Hassan and Honeine, Paul and Richard, Cédric and Borgnat, Pierre and Flandrin, Patrick},\n\tbooktitle = {Statistical Signal Processing Workshop (SSP), 2009 IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {testing signal stationarity/causality},\n\torganization = {IEEE},\n\tpages = {565-568},\n\ttitle = {Time-frequency learning machines for nonstationarity detection using surrogates},\n\turl_paper = {Articles/amoud2009time.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Auto-localisation dans les réseaux de capteurs sans fil par régression de matrices de Gram.\n \n \n \n \n\n\n \n Honeine, P.; Richard, C.; and Snoussi, H.\n\n\n \n\n\n\n In Actes du 22e Colloque GRETSI sur le Traitement du Signal et des Images, 2009. \n \n\n\n\n
\n\n\n\n \n \n \"Auto-localisation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2009auto,\n\tauthor = {Honeine, Paul and Richard, Cédric and Snoussi, Hichem},\n\tbooktitle = {Actes du 22e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Auto-localisation dans les réseaux de capteurs sans fil par régression de matrices de Gram},\n\turl_paper = {Articles/honeine2009auto.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n A nonlinear estimation for target tracking in wireless sensor networks using quantized variational filtering.\n \n \n \n \n\n\n \n Mansouri, M.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Signals, Circuits and Systems (SCS), 2009 3rd International Conference on, pages 1-4, 2009. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mansouri2009nonlinear,\n\tauthor = {Mansouri, Majdi and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Signals, Circuits and Systems (SCS), 2009 3rd International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {1-4},\n\ttitle = {A nonlinear estimation for target tracking in wireless sensor networks using quantized variational filtering},\n\turl_paper = {mansouri2009nonlinear.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Localisation par intervalles basée sur les ancres et les non-ancres dans les réseaux de capteurs mobiles.\n \n \n \n \n\n\n \n Mourad, F.; Snoussi, H.; Abdallah, F.; and Richard, C.\n\n\n \n\n\n\n In Actes du 22e Colloque GRETSI sur le Traitement du Signal et des Images, 2009. \n \n\n\n\n
\n\n\n\n \n \n \"Localisation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mourad2009localisation,\n\tauthor = {Mourad, Farah and Snoussi, Hichem and Abdallah, Fahed and Richard, Cédric},\n\tbooktitle = {Actes du 22e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: interval-based analysis},\n\ttitle = {Localisation par intervalles basée sur les ancres et les non-ancres dans les réseaux de capteurs mobiles},\n\turl_paper = {Articles/mourad2009localisation.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Joint adaptive quantization and fading channel estimation for target tracking in wireless sensor networks.\n \n \n \n \n\n\n \n Mansouri, M.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing and Information Technology (ISSPIT), 2009 IEEE International Symposium on, pages 612-615, 2009. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Joint paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mansouri2009joint,\n\tauthor = {Mansouri, Majdi and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Signal Processing and Information Technology (ISSPIT), 2009 IEEE International Symposium on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {612-615},\n\ttitle = {Joint adaptive quantization and fading channel estimation for target tracking in wireless sensor networks},\n\turl_paper = {mansouri2009joint.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Signal detection with noise power variation between the hypotheses.\n \n \n \n \n\n\n \n Vincent, F.; Besson, O.; and Richard, C.\n\n\n \n\n\n\n In Digital Signal Processing Workshop, 2009. DSP/SPE 2009. IEEE 13th, pages 588-593, 2009. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Signal paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{vincent2009signal,\n\tauthor = {Vincent, Francois and Besson, Olivier and Richard, Cédric},\n\tbooktitle = {Digital Signal Processing Workshop, 2009. DSP/SPE 2009. IEEE 13th},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {588-593},\n\ttitle = {Signal detection with noise power variation between the hypotheses},\n\turl_paper = {vincent2009signal.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Sur la caractérisation de non-stationnarités par la méthode des substituts.\n \n \n \n \n\n\n \n Amoud, H.; Richard, C.; Honeine, P.; Flandrin, P.; and Borgnat, P.\n\n\n \n\n\n\n In Actes du 22e Colloque GRETSI sur le Traitement du Signal et des Images, 2009. \n \n\n\n\n
\n\n\n\n \n \n \"Sur paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{amoud2009caracterisation,\n\tauthor = {Amoud, Hassan and Richard, Cédric and Honeine, Paul and Flandrin, Patrick and Borgnat, Pierre},\n\tbooktitle = {Actes du 22e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {testing signal stationarity/causality},\n\ttitle = {Sur la caractérisation de non-stationnarités par la méthode des substituts},\n\turl_paper = {Articles/amoud2009caracterisation.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Auto-localisation et suivi de cible simultanés dans les réseaux de capteurs sans fil.\n \n \n \n \n\n\n \n Teng, J.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Actes du 22e Colloque GRETSI sur le Traitement du Signal et des Images, 2009. \n \n\n\n\n
\n\n\n\n \n \n \"Auto-localisation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{teng2009auto,\n\tauthor = {Teng, Jing and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Actes du 22e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\ttitle = {Auto-localisation et suivi de cible simultanés dans les réseaux de capteurs sans fil},\n\turl_paper = {Articles/teng2009auto.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Apprentissage non-linéaire en ligne dans les réseaux de capteurs sans fil.\n \n \n \n \n\n\n \n Richard, C.; Honeine, P.; Essoloh, M.; and Snoussi, H.\n\n\n \n\n\n\n In Actes du 22e Colloque GRETSI sur le Traitement du Signal et des Images, 2009. \n \n\n\n\n
\n\n\n\n \n \n \"Apprentissage paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{richard2009apprentissage,\n\tauthor = {Richard, Cédric and Honeine, Paul and Essoloh, Mehdi and Snoussi, Hichem},\n\tbooktitle = {Actes du 22e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Apprentissage non-linéaire en ligne dans les réseaux de capteurs sans fil},\n\turl_paper = {Articles/richard2009apprentissage.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Data-driven online variational filtering in wireless sensor networks.\n \n \n \n \n\n\n \n Snoussi, H.; Tourneret, J.; Djuric, P. M.; and Richard, C.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2009 IEEE International Conference on, pages 2413-2416, 2009. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Data-driven paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{snoussi2009data,\n\tauthor = {Snoussi, Hichem and Tourneret, J-Y and Djuric, Petar M. and Richard, Cédric},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2009 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {2413-2416},\n\ttitle = {Data-driven online variational filtering in wireless sensor networks},\n\turl_paper = {Articles/snoussi2009data.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Hybrid probabilistic data association and variational filtering for multi-target tracking in wireless sensor networks.\n \n \n \n \n\n\n \n Teng, J.; Snoussi, H.; Richard, C.; and Zhou, Y.\n\n\n \n\n\n\n In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 3rd IEEE International Workshop on, pages 368-371, 2009. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Hybrid paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{teng2009hybrid,\n\tauthor = {Teng, Jing and Snoussi, Hichem and Richard, Cédric and Zhou, Yi},\n\tbooktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 3rd IEEE International Workshop on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {368-371},\n\ttitle = {Hybrid probabilistic data association and variational filtering for multi-target tracking in wireless sensor networks},\n\turl_paper = {Articles/teng2009hybrid.pdf},\n\tyear = {2009}}\n\n
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\n \n\n \n \n \n \n \n \n Fragment-based variational visual tracking.\n \n \n \n \n\n\n \n Zhou, Y.; Snoussi, H.; Zheng, S.; Richard, C.; and Teng, J.\n\n\n \n\n\n\n In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 3rd IEEE International Workshop on, pages 376-379, 2009. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Fragment-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{zhou2009fragment,\n\tauthor = {Zhou, Yi and Snoussi, Hichem and Zheng, Shibao and Richard, Cédric and Teng, Jing},\n\tbooktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 3rd IEEE International Workshop on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {376-379},\n\ttitle = {Fragment-based variational visual tracking},\n\turl_paper = {Articles/zhou2009fragment.pdf},\n\tyear = {2009}}\n\n
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\n  \n 2008\n \n \n (2)\n \n \n
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\n  \n article\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Matched subspace detection with hypothesis dependent noise power.\n \n \n \n \n\n\n \n Vincent, F.; Besson, O.; and Richard, C.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 56(11): 5713-5718. 2008.\n \n\n\n\n
\n\n\n\n \n \n \"Matched paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{vincent2008matched,\n\tauthor = {Vincent, Franois and Besson, Olivier and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tnumber = {11},\n\tpages = {5713-5718},\n\tpublisher = {IEEE},\n\ttitle = {Matched subspace detection with hypothesis dependent noise power},\n\turl_paper = {Articles/vincent2008matched.pdf},\n\tvolume = {56},\n\tyear = {2008}}\n\n
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\n \n\n \n \n \n \n \n \n Distribution temps-fréquence à paramétrisation radialement Gaussienne optimisée pour la classification.\n \n \n \n \n\n\n \n Honeine, P.; and Richard, C.\n\n\n \n\n\n\n Traitement du signal, 25(6): 469-479. 2008.\n \n\n\n\n
\n\n\n\n \n \n \"Distribution paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{honeine2008distribution,\n\tauthor = {Honeine, Paul and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Traitement du signal},\n\tkeywords = {time-frequency analysis},\n\tnumber = {6},\n\tpages = {469-479},\n\tpublisher = {Lavoisier},\n\ttitle = {Distribution temps-fréquence à paramétrisation radialement Gaussienne optimisée pour la classification},\n\turl_paper = {Articles/honeine2008distribution.pdf},\n\tvolume = {25},\n\tyear = {2008}}\n\n
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\n  \n inproceedings\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n \n Distributed regression in sensor networks with a reduced-order kernel model.\n \n \n \n \n\n\n \n Honeine, P.; Essoloh, M.; Richard, C.; and Snoussi, H.\n\n\n \n\n\n\n In Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE, pages 1-5, 2008. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2008regression,\n\tauthor = {Honeine, Paul and Essoloh, Mehdi and Richard, Cédric and Snoussi, Hichem},\n\tbooktitle = {Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\torganization = {IEEE},\n\tpages = {1-5},\n\ttitle = {Distributed regression in sensor networks with a reduced-order kernel model},\n\turl_paper = {Articles/honeine2008regression.pdf},\n\tyear = {2008}}\n\n
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\n \n\n \n \n \n \n \n \n Guaranteed boxed localization in manets by interval analysis and constraints propagation techniques.\n \n \n \n \n\n\n \n Mourad, F.; Snoussi, H.; Abdallah, F.; and Richard, C.\n\n\n \n\n\n\n In Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE, pages 1-5, 2008. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Guaranteed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{mourad2008guaranteed,\n\tauthor = {Mourad, Farah and Snoussi, Hichem and Abdallah, Fahed and Richard, Cédric},\n\tbooktitle = {Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: interval-based analysis},\n\torganization = {IEEE},\n\tpages = {1-5},\n\ttitle = {Guaranteed boxed localization in manets by interval analysis and constraints propagation techniques},\n\turl_paper = {Articles/mourad2008guaranteed.pdf},\n\tyear = {2008}}\n\n
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\n \n\n \n \n \n \n \n \n Localization in sensor networks. A matrix regression approach.\n \n \n \n \n\n\n \n Honeine, P.; Richard, C.; Essoloh, M.; and Snoussi, H.\n\n\n \n\n\n\n In Sensor Array and Multichannel Signal Processing Workshop, 2008. SAM 2008. 5th IEEE, pages 284-287, 2008. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Localization paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2008localization,\n\tauthor = {Honeine, Paul and Richard, Cédric and Essoloh, Mehdi and Snoussi, Hichem},\n\tbooktitle = {Sensor Array and Multichannel Signal Processing Workshop, 2008. SAM 2008. 5th IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\torganization = {IEEE},\n\tpages = {284-287},\n\ttitle = {Localization in sensor networks. A matrix regression approach},\n\turl_paper = {Articles/honeine2008localization.pdf},\n\tyear = {2008}}\n\n
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\n \n\n \n \n \n \n \n \n Optimizing kernel alignment by data translation in feature space.\n \n \n \n \n\n\n \n Pothin, J.; and Richard, C.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2008 IEEE International Conference on, pages 3345-3348, 2008. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Optimizing paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pothin2008optimizing,\n\tauthor = {Pothin, J-B and Richard, Cédric},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2008 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {3345-3348},\n\ttitle = {Optimizing kernel alignment by data translation in feature space},\n\turl_paper = {Articles/pothin2008optimizing.pdf},\n\tyear = {2008}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed localization in wireless sensor networks as a pre-image problem in a reproducing kernel Hilbert space.\n \n \n \n \n\n\n \n Essoloh, M.; Richard, C.; Snoussi, H.; and Honeine, P.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), European Conference on, 2008. \n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{essoloh2008distributed,\n\tauthor = {Essoloh, Mehdi and Richard, Cédric and Snoussi, Hichem and Honeine, Paul},\n\tbooktitle = {Signal Processing (EUSIPCO), European Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\ttitle = {Distributed localization in wireless sensor networks as a pre-image problem in a reproducing kernel Hilbert space},\n\turl_paper = {Articles/essoloh2008distributed.pdf},\n\tyear = {2008}}\n\n
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\n \n\n \n \n \n \n \n \n Variational filtering algorithm for interdependent target tracking and sensor localization in wireless sensor network.\n \n \n \n \n\n\n \n Teng, J.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 16th European Conference on, 2008. \n \n\n\n\n
\n\n\n\n \n \n \"Variational paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{teng2008variational,\n\tauthor = {Teng, Jing and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Signal Processing (EUSIPCO), 16th European Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\ttitle = {Variational filtering algorithm for interdependent target tracking and sensor localization in wireless sensor network},\n\turl_paper = {Articles/teng2008variational.pdf},\n\tyear = {2008}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks.\n \n \n \n \n\n\n \n Honeine, P.; Richard, C.; Bermudez, J. M.; and Snoussi, H.\n\n\n \n\n\n\n In Signals, Systems and Computers (ASILOMAR), 2008 Conference Record of the Forty Fourth Asilomar Conference on, pages 246-250, 2008. \n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2008distributed,\n\tauthor = {Honeine, Paul and Richard, Cédric and Bermudez, Jose-Carlos M. and Snoussi, Hichem},\n\tbooktitle = {Signals, Systems and Computers (ASILOMAR), 2008 Conference Record of the Forty Fourth Asilomar Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\tpages = {246-250},\n\ttitle = {Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks},\n\turl_paper = {Articles/honeine2008distributed.pdf},\n\tyear = {2008}}\n\n
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\n  \n 2007\n \n \n (2)\n \n \n
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\n  \n article\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Time-frequency learning machines.\n \n \n \n \n\n\n \n Honeine, P.; Richard, C.; and Flandrin, P.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 55(7): 3930-3936. 2007.\n \n\n\n\n
\n\n\n\n \n \n \"Time-frequency paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{honeine2007time,\n\tauthor = {Honeine, Paul and Richard, Cédric and Flandrin, Patrick},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {time-frequency analysis},\n\tnumber = {7},\n\tpages = {3930-3936},\n\tpublisher = {IEEE},\n\ttitle = {Time-frequency learning machines},\n\turl_paper = {Articles/honeine2007time.pdf},\n\tvolume = {55},\n\tyear = {2007}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed bayesian fault diagnosis of jump Markov systems in wireless sensor networks.\n \n \n \n \n\n\n \n Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n International Journal of Sensor Networks, 2(1): 118-127. 2007.\n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{snoussi2007distributed,\n\tauthor = {Snoussi, Hichem and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {International Journal of Sensor Networks},\n\tkeywords = {sensor networks: variational filtering},\n\tnumber = {1},\n\tpages = {118-127},\n\tpublisher = {Inderscience},\n\ttitle = {Distributed bayesian fault diagnosis of jump Markov systems in wireless sensor networks},\n\turl_paper = {Articles/snoussi2007distributed.pdf},\n\tvolume = {2},\n\tyear = {2007}}\n\n
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\n  \n inproceedings\n \n \n (12)\n \n \n
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\n \n\n \n \n \n \n \n \n Signal-dependent time-frequency representations for classification using a radially gaussian kernel and the alignment criterion.\n \n \n \n \n\n\n \n Honeine, P.; and Richard, C.\n\n\n \n\n\n\n In Statistical Signal Processing, 2007. SSP'07. IEEE/SP 14th Workshop on, pages 735-739, 2007. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Signal-dependent paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2007signal,\n\tauthor = {Honeine, Paul and Richard, Cédric},\n\tbooktitle = {Statistical Signal Processing, 2007. SSP'07. IEEE/SP 14th Workshop on},\n\tdate-added = {2013-04-03 17:25:36 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\torganization = {IEEE},\n\tpages = {735-739},\n\ttitle = {Signal-dependent time-frequency representations for classification using a radially gaussian kernel and the alignment criterion},\n\turl_paper = {Articles/honeine2007signal.pdf},\n\tyear = {2007}}\n\n
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\n \n\n \n \n \n \n \n \n Binary variational filtering for target tracking in sensor networks.\n \n \n \n \n\n\n \n Teng, J.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Statistical Signal Processing, 2007. SSP'07. IEEE/SP 14th Workshop on, pages 685-689, 2007. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Binary paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{teng2007binary,\n\tauthor = {Teng, Jing and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Statistical Signal Processing, 2007. SSP'07. IEEE/SP 14th Workshop on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {685-689},\n\ttitle = {Binary variational filtering for target tracking in sensor networks},\n\turl_paper = {Articles/teng2007binary.pdf},\n\tyear = {2007}}\n\n
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\n \n\n \n \n \n \n \n \n On-line nonlinear sparse approximation of functions.\n \n \n \n \n\n\n \n Honeine, P.; Richard, C.; and Bermudez, J. M.\n\n\n \n\n\n\n In Information Theory, 2007. ISIT 2007. IEEE International Symposium on, pages 956-960, 2007. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"On-line paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2007line,\n\tauthor = {Honeine, Paul and Richard, Cédric and Bermudez, Jose-Carlos M.},\n\tbooktitle = {Information Theory, 2007. ISIT 2007. IEEE International Symposium on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\torganization = {IEEE},\n\tpages = {956-960},\n\ttitle = {On-line nonlinear sparse approximation of functions},\n\turl_paper = {Articles/honeine2007line.pdf},\n\tyear = {2007}}\n\n
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\n \n\n \n \n \n \n \n \n Testing stationarity with surrogates. A one-class SVM approach.\n \n \n \n \n\n\n \n Xiao, J.; Borgnat, P.; Flandrin, P.; and Richard, C.\n\n\n \n\n\n\n In Statistical Signal Processing, 2007. SSP'07. IEEE/SP 14th Workshop on, pages 720-724, 2007. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Testing paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{xiao2007testing,\n\tauthor = {Xiao, Jun and Borgnat, Pierre and Flandrin, Patrick and Richard, Cédric},\n\tbooktitle = {Statistical Signal Processing, 2007. SSP'07. IEEE/SP 14th Workshop on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {testing signal stationarity/causality},\n\torganization = {IEEE},\n\tpages = {720-724},\n\ttitle = {Testing stationarity with surrogates. A one-class SVM approach},\n\turl_paper = {Articles/xiao2007testing.pdf},\n\tyear = {2007}}\n\n
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\n \n\n \n \n \n \n \n \n Prediction-based proactive cluster target tracking protocol for binary sensor networks.\n \n \n \n \n\n\n \n Teng, J.; Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing and Information Technology, 2007 IEEE International Symposium on, pages 234-239, 2007. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Prediction-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{teng2007prediction,\n\tauthor = {Teng, Jing and Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Signal Processing and Information Technology, 2007 IEEE International Symposium on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {234-239},\n\ttitle = {Prediction-based proactive cluster target tracking protocol for binary sensor networks},\n\turl_paper = {Articles/teng2007prediction.pdf},\n\tyear = {2007}}\n\n
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\n \n\n \n \n \n \n \n \n Optimal feature representation for kernel machines using kernel-target alignment criterion.\n \n \n \n \n\n\n \n Pothin, J.; and Richard, C.\n\n\n \n\n\n\n In Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on, volume 3, pages III-1065, 2007. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Optimal paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pothin2007optimal,\n\tauthor = {Pothin, J-B and Richard, Cédric},\n\tbooktitle = {Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {III-1065},\n\ttitle = {Optimal feature representation for kernel machines using kernel-target alignment criterion},\n\turl_paper = {Articles/pothin2007optimal.pdf},\n\tvolume = {3},\n\tyear = {2007}}\n\n
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\n \n\n \n \n \n \n \n \n Anchor-based distributed localization in wireless sensor networks.\n \n \n \n \n\n\n \n Essoloh, M.; Richard, C.; and Snoussi, H.\n\n\n \n\n\n\n In Statistical Signal Processing, 2007. SSP'07. IEEE/SP 14th Workshop on, pages 393-397, 2007. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Anchor-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{essoloh2007anchor,\n\tauthor = {Essoloh, Mehdi and Richard, Cédric and Snoussi, Hichem},\n\tbooktitle = {Statistical Signal Processing, 2007. SSP'07. IEEE/SP 14th Workshop on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\torganization = {IEEE},\n\tpages = {393-397},\n\ttitle = {Anchor-based distributed localization in wireless sensor networks},\n\turl_paper = {Articles/essoloh2007anchor.pdf},\n\tyear = {2007}}\n\n
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\n \n\n \n \n \n \n \n \n Information-theoretic node scheduling in collaborative sensor networks.\n \n \n \n \n\n\n \n Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on, pages 1-4, 2007. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Information-theoretic paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{snoussi2007information,\n\tauthor = {Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {1-4},\n\ttitle = {Information-theoretic node scheduling in collaborative sensor networks},\n\turl_paper = {Articles/snoussi2007information.pdf},\n\tyear = {2007}}\n\n
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\n \n\n \n \n \n \n \n \n Localisation distribuée dans les réseaux de capteurs sans fil par résolution d'un problème quadratique.\n \n \n \n \n\n\n \n Essoloh, M.; Richard, C.; and Snoussi, H.\n\n\n \n\n\n\n In Actes du 21e Colloque GRETSI sur le Traitement du Signal et des Images, 2007. \n \n\n\n\n
\n\n\n\n \n \n \"Localisation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{essoloh2007localisation,\n\tauthor = {Essoloh, Mehdi and Richard, Cédric and Snoussi, Hichem},\n\tbooktitle = {Actes du 21e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: distributed learning},\n\tnumber = {405-408},\n\ttitle = {Localisation distribuée dans les réseaux de capteurs sans fil par résolution d'un problème quadratique},\n\turl_paper = {Articles/essoloh2007localisation.pdf},\n\tyear = {2007}}\n\n
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\n \n\n \n \n \n \n \n \n Distribution temps-fréquence à noyau radialement Gaussien: optimisation pour la classification par le critère d'alignement noyau-cible.\n \n \n \n \n\n\n \n Honeine, P.; and Richard, C.\n\n\n \n\n\n\n In Actes du 21e Colloque GRETSI sur le Traitement du Signal et des Images, 2007. \n \n\n\n\n
\n\n\n\n \n \n \"Distribution paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{honeine2007distribution,\n\tauthor = {Honeine, Paul and Richard, Cédric},\n\tbooktitle = {Actes du 21e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Distribution temps-fréquence à noyau radialement Gaussien: optimisation pour la classification par le critère d'alignement noyau-cible},\n\turl_paper = {Articles/honeine2007distribution.pdf},\n\tyear = {2007}}\n\n
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\n \n\n \n \n \n \n \n \n Apprentissage de métrique appliqué à la classification de textes par méthodes à noyaux.\n \n \n \n \n\n\n \n Pothin, J.; and Richard, C.\n\n\n \n\n\n\n In Actes du 21e Colloque GRETSI sur le Traitement du Signal et des Images, pages 1317-1320, 2007. \n \n\n\n\n
\n\n\n\n \n \n \"Apprentissage paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pothin2007apprentissage,\n\tauthor = {Pothin, Jean-Baptiste and Richard, Cédric},\n\tbooktitle = {Actes du 21e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tpages = {1317-1320},\n\ttitle = {Apprentissage de métrique appliqué à la classification de textes par méthodes à noyaux},\n\turl_paper = {Articles/pothin2007apprentissage.pdf},\n\tyear = {2007}}\n\n
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\n \n\n \n \n \n \n \n \n Modélisation parcimonieuse non linéaire en ligne par une méthode à noyau reproduisant et un critère de cohérence.\n \n \n \n \n\n\n \n Honeine, P.; Richard, C.; and Bermudez, J. M.\n\n\n \n\n\n\n In Actes du 21e Colloque GRETSI sur le Traitement du Signal et des Images, pages 1257-1260, 2007. \n \n\n\n\n
\n\n\n\n \n \n \"Modélisation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2007modelisation,\n\tauthor = {Honeine, Paul and Richard, Cédric and Bermudez, Jose-Carlos M.},\n\tbooktitle = {Actes du 21e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\tpages = {1257-1260},\n\ttitle = {Modélisation parcimonieuse non linéaire en ligne par une méthode à noyau reproduisant et un critère de cohérence},\n\turl_paper = {Articles/honeine2007modelisation.pdf},\n\tyear = {2007}}\n\n
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\n \n\n \n \n \n \n \n \n Nonlinear regularized Wiener filtering with kernels: Application in denoising MEG data corrupted by ECG.\n \n \n \n \n\n\n \n Constantin, I.; Richard, C.; Lengellé, R.; and Soufflet, L.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 54(12): 4796-4806. 2006.\n \n\n\n\n
\n\n\n\n \n \n \"Nonlinear paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{constantin2006nonlinear,\n\tauthor = {Constantin, Ibtissam and Richard, Cédric and Lengellé, Régis and Soufflet, Laurent},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {kernel adaptive filtering},\n\tnumber = {12},\n\tpages = {4796-4806},\n\tpublisher = {IEEE},\n\ttitle = {Nonlinear regularized Wiener filtering with kernels: Application in denoising MEG data corrupted by ECG},\n\turl_paper = {Articles/constantin2006nonlinear.pdf},\n\tvolume = {54},\n\tyear = {2006}}\n\n
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\n  \n inproceedings\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n \n A kernel-based RLS algorithm for nonlinear adaptive filtering using sparse approximation theory.\n \n \n \n \n\n\n \n Richard, C.\n\n\n \n\n\n\n In Signals, Systems and Computers, 2006. Conference Record of the Asilomar Conference on, 2006. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard2006kernel,\n\tauthor = {Richard, Cédric},\n\tbooktitle = {Signals, Systems and Computers, 2006. Conference Record of the Asilomar Conference on},\n\tdate-added = {2013-04-03 15:59:29 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\torganization = {IEEE},\n\ttitle = {A kernel-based RLS algorithm for nonlinear adaptive filtering using sparse approximation theory},\n\turl_paper = {Articles/richard2006kernel.pdf},\n\tyear = {2006}}\n\n
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\n \n\n \n \n \n \n \n \n Ensemble learning online filtering in wireless sensor networks.\n \n \n \n \n\n\n \n Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Communication systems, 2006. ICCS 2006. 10th IEEE Singapore International Conference on, pages 1-5, 2006. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Ensemble paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{snoussi2006ensemble,\n\tauthor = {Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Communication systems, 2006. ICCS 2006. 10th IEEE Singapore International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\torganization = {IEEE},\n\tpages = {1-5},\n\ttitle = {Ensemble learning online filtering in wireless sensor networks},\n\turl_paper = {Articles/snoussi2006ensemble.pdf},\n\tyear = {2006}}\n\n
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\n \n\n \n \n \n \n \n \n A greedy algorithm for optimizing the kernel alignment and the performance of kernel machines.\n \n \n \n \n\n\n \n Pothin, J.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 14th European Conference on, volume 6, pages 4-8, 2006. \n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pothin2006greedy,\n\tauthor = {Pothin, Jean-Baptiste and Richard, Cédric},\n\tbooktitle = {Signal Processing (EUSIPCO), 14th European Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tpages = {4-8},\n\ttitle = {A greedy algorithm for optimizing the kernel alignment and the performance of kernel machines},\n\turl_paper = {Articles/pothin2006greedy.pdf},\n\tvolume = {6},\n\tyear = {2006}}\n\n
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\n \n\n \n \n \n \n \n \n Distributed bayesian fault diagnosis in collaborative wireless sensor networks.\n \n \n \n \n\n\n \n Snoussi, H.; and Richard, C.\n\n\n \n\n\n\n In Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE, 2006. \n \n\n\n\n
\n\n\n\n \n \n \"Distributed paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{snoussi2006distributed,\n\tauthor = {Snoussi, Hichem and Richard, Cédric},\n\tbooktitle = {Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {sensor networks: variational filtering},\n\ttitle = {Distributed bayesian fault diagnosis in collaborative wireless sensor networks},\n\turl_paper = {Articles/snoussi2006distributed.pdf},\n\tyear = {2006}}\n\n
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\n \n\n \n \n \n \n \n \n Optimal selection of time-frequency representations for signal classification: A kernel-target alignment approach.\n \n \n \n \n\n\n \n Honeine, P.; Richard, C.; Flandrin, P.; and Pothin, J.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2006 IEEE International Conference on, volume 3, pages III-III, 2006. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Optimal paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{honeine2006optimal,\n\tauthor = {Honeine, Paul and Richard, Cédric and Flandrin, Patrick and Pothin, J-B},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2006 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\torganization = {IEEE},\n\tpages = {III-III},\n\ttitle = {Optimal selection of time-frequency representations for signal classification: A kernel-target alignment approach},\n\turl_paper = {Articles/honeine2006optimal.pdf},\n\tvolume = {3},\n\tyear = {2006}}\n\n
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\n \n\n \n \n \n \n \n \n Incorporating prior information into support vector machines in the form of ellipsoidal knowledge sets.\n \n \n \n \n\n\n \n Pothin, J.; and Richard, C.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 14th European Conference on, pages 2173-2183, 2006. \n \n\n\n\n
\n\n\n\n \n \n \"Incorporating paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pothin2006incorporating,\n\tauthor = {Pothin, Jean-Baptiste and Richard, Cédric},\n\tbooktitle = {Signal Processing (EUSIPCO), 14th European Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tpages = {2173-2183},\n\ttitle = {Incorporating prior information into support vector machines in the form of ellipsoidal knowledge sets},\n\turl_paper = {Articles/pothin2006incorporating.pdf},\n\tyear = {2006}}\n\n
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\n \n\n \n \n \n \n \n \n Online learning with kernels. A new approach for sparsity control based on a coherence criterion.\n \n \n \n \n\n\n \n Pothin, J.; and Richard, C.\n\n\n \n\n\n\n In Machine Learning for Signal Processing (MLSP), 2006 IEEE International Workshop on, pages 241-245, 2006. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Online paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{pothin2006online,\n\tauthor = {Pothin, Jean-Baptiste and Richard, Cédric},\n\tbooktitle = {Machine Learning for Signal Processing (MLSP), 2006 IEEE International Workshop on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\torganization = {IEEE},\n\tpages = {241-245},\n\ttitle = {Online learning with kernels. A new approach for sparsity control based on a coherence criterion},\n\turl_paper = {Articles/pothin2006online.pdf},\n\tyear = {2006}}\n\n
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\n \n\n \n \n \n \n \n \n Adaptive diffusion as a versatile tool for time-frequency and time-scale representations processing: a review.\n \n \n \n \n\n\n \n Gosme, J.; Richard, C.; and Goncalves, P.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 53(11): 4136-4146. 2005.\n \n\n\n\n
\n\n\n\n \n \n \"Adaptive paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{gosme2005adaptive,\n\tauthor = {Gosme, Julien and Richard, Cédric and Goncalves, Paulo},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {time-frequency analysis},\n\tnumber = {11},\n\tpages = {4136-4146},\n\tpublisher = {IEEE},\n\ttitle = {Adaptive diffusion as a versatile tool for time-frequency and time-scale representations processing: a review},\n\turl_paper = {Articles/gosme2005adaptive.pdf},\n\tvolume = {53},\n\tyear = {2005}}\n\n
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\n \n\n \n \n \n \n \n \n Beyond standard classes of generalized joint signal representations of arbitrary variables: Mercer kernel-based representations.\n \n \n \n \n\n\n \n Gosme, J.; and Richard, C.\n\n\n \n\n\n\n Signal Processing Letters, IEEE, 12(1): 25-28. 2005.\n \n\n\n\n
\n\n\n\n \n \n \"Beyond paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{gosme2005beyond,\n\tauthor = {Gosme, Julien and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing Letters, IEEE},\n\tkeywords = {time-frequency analysis},\n\tnumber = {1},\n\tpages = {25-28},\n\tpublisher = {IEEE},\n\ttitle = {Beyond standard classes of generalized joint signal representations of arbitrary variables: Mercer kernel-based representations},\n\turl_paper = {Articles/gosme2005beyond.pdf},\n\tvolume = {12},\n\tyear = {2005}}\n\n
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\n  \n inproceedings\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n \n Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising.\n \n \n \n \n\n\n \n Constantin, I.; Richard, C.; Lengelle, R.; and Soufflet, L.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2005 IEEE International Conference on, volume 4, pages iv-289, 2005. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Regularized paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{constantin2005regularized,\n\tauthor = {Constantin, Ibtissam and Richard, Cédric and Lengelle, Régis and Soufflet, Laurent},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2005 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\torganization = {IEEE},\n\tpages = {iv-289},\n\ttitle = {Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising},\n\turl_paper = {Articles/constantin2005regularized.pdf},\n\tvolume = {4},\n\tyear = {2005}}\n\n
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\n \n\n \n \n \n \n \n \n Kernel machines : une nouvelle méthode pour l'optimisation de l'alignement des noyaux et l'amélioration des performances.\n \n \n \n \n\n\n \n Pothin, J.; and Richard, C.\n\n\n \n\n\n\n In Actes du 20e Colloque GRETSI sur le Traitement du Signal et des Images, 2005. \n \n\n\n\n
\n\n\n\n \n \n \"Kernel paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pothin2005kernel,\n\tauthor = {Pothin, Jean-Baptiste and Richard, Cédric},\n\tbooktitle = {Actes du 20e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Kernel machines : une nouvelle méthode pour l'optimisation de l'alignement des noyaux et l'amélioration des performances},\n\turl_paper = {Articles/pothin2005kernel.pdf},\n\tyear = {2005}}\n\n
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\n \n\n \n \n \n \n \n \n Reconnaissance des formes par méthodes à noyau dans le domaine temps-fréquence.\n \n \n \n \n\n\n \n Honeine, P.; Richard, C.; and Flandrin, P.\n\n\n \n\n\n\n In Actes du 20e Colloque GRETSI sur le Traitement du Signal et des Images, 2005. \n \n\n\n\n
\n\n\n\n \n \n \"Reconnaissance paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{honeine2005reconnaissance,\n\tauthor = {Honeine, Paul and Richard, Cédric and Flandrin, Patrick},\n\tbooktitle = {Actes du 20e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Reconnaissance des formes par méthodes à noyau dans le domaine temps-fréquence},\n\turl_paper = {Articles/honeine2005reconnaissance.pdf},\n\tyear = {2005}}\n\n
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\n \n\n \n \n \n \n \n \n Diffused distribution reassignment.\n \n \n \n \n\n\n \n Gosme, J.; and Richard, C.\n\n\n \n\n\n\n In Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on, pages 877-882, 2005. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Diffused paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{gosme2005diffused,\n\tauthor = {Gosme, Julien and Richard, Cédric},\n\tbooktitle = {Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\torganization = {IEEE},\n\tpages = {877-882},\n\ttitle = {Diffused distribution reassignment},\n\turl_paper = {Articles/gosme2005diffused.pdf},\n\tyear = {2005}}\n\n
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\n \n\n \n \n \n \n \n \n Filtrage adaptatif non-linéaire par méthodes de gradient stochastique court-terme à noyau.\n \n \n \n \n\n\n \n Richard, C.\n\n\n \n\n\n\n In Actes du 20e Colloque GRETSI sur le Traitement du Signal et des Images, 2005. \n \n\n\n\n
\n\n\n\n \n \n \"Filtrage paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard2005filtrage,\n\tauthor = {Richard, Cédric},\n\tbooktitle = {Actes du 20e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\ttitle = {Filtrage adaptatif non-linéaire par méthodes de gradient stochastique court-terme à noyau},\n\turl_paper = {Articles/richard2005filtrage.pdf},\n\tyear = {2005}}\n\n
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\n  \n article\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n An improved training algorithm for nonlinear kernel discriminants.\n \n \n \n \n\n\n \n Abdallah, F.; Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 52(10): 2798-2806. 2004.\n \n\n\n\n
\n\n\n\n \n \n \"An paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{abdallah2004improved,\n\tauthor = {Abdallah, Fahed and Richard, Cédric and Lengellé, Régis},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {classification: one-class and multiclass},\n\tnumber = {10},\n\tpages = {2798-2806},\n\ttitle = {An improved training algorithm for nonlinear kernel discriminants},\n\turl_paper = {Articles/abdallah2004improved.pdf},\n\tvolume = {52},\n\tyear = {2004}}\n\n
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\n \n\n \n \n \n \n \n \n Algorithmes séquentiels pour l'analyse de données par méthodes à noyau.\n \n \n \n \n\n\n \n Richard, C.; Abdallah, F.; and Lengellé, R.\n\n\n \n\n\n\n Traitement du Signal, 21: 97-107. 2004.\n \n\n\n\n
\n\n\n\n \n \n \"Algorithmes paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{richard2004algorithmes,\n\tauthor = {Richard, Cédric and Abdallah, Fahed and Lengellé, Régis},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Traitement du Signal},\n\tpages = {97-107},\n\ttitle = {Algorithmes séquentiels pour l'analyse de données par méthodes à noyau},\n\turl_paper = {Articles/richard2004algorithmes.pdf},\n\tvolume = {21},\n\tyear = {2004}}\n\n
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\n  \n inbook\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Détection par représentations temps-fréquence discrètes.\n \n \n \n \n\n\n \n Richard, C.\n\n\n \n\n\n\n Décision dans le plan temps-fréquence. Martin, N.; and Doncarli, C., editor(s). Hermès, Lavoisier edition, 2004.\n \n\n\n\n
\n\n\n\n \n \n \"Décision paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inbook{richard2004detection,\n\tauthor = {Richard, Cédric},\n\tchapter = {Détection par représentations temps-fréquence discrètes},\n\tdate-added = {2013-04-03 16:23:52 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tedition = {Lavoisier},\n\teditor = {Martin, Nadine and Doncarli, Christian},\n\tjournal = {Traité IC2},\n\tnumber = {3},\n\tpublisher = {Hermès},\n\ttitle = {Décision dans le plan temps-fréquence},\n\turl_paper = {Articles/richard2004detection.pdf},\n\tyear = {2004}}\n\n
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\n  \n inproceedings\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Diffusion equations for adaptive affine distributions.\n \n \n \n \n\n\n \n Gosme, J.; Richard, C.; and Goncalves, P.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2004 IEEE International Conference on, volume 2, pages ii-629, 2004. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Diffusion paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{gosme2004diffusion,\n\tauthor = {Gosme, Julien and Richard, Cédric and Goncalves, Paulo},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2004 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\torganization = {IEEE},\n\tpages = {ii-629},\n\ttitle = {Diffusion equations for adaptive affine distributions},\n\turl_paper = {Articles/gosme2004diffusion.pdf},\n\tvolume = {2},\n\tyear = {2004}}\n\n
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\n \n\n \n \n \n \n \n \n A sequential approach for multi-class discriminant analysis with kernels.\n \n \n \n \n\n\n \n Abdallah, F.; Richard, C.; and Lengelle, R.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2004 IEEE International Conference on, volume 5, pages V-453, 2004. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{abdallah2004sequential,\n\tauthor = {Abdallah, Fahed and Richard, Cédric and Lengelle, Régis},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2004 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {classification: one-class and multiclass},\n\torganization = {IEEE},\n\tpages = {V-453},\n\ttitle = {A sequential approach for multi-class discriminant analysis with kernels},\n\turl_paper = {Articles/abdallah2004sequential.pdf},\n\tvolume = {5},\n\tyear = {2004}}\n\n
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\n \n\n \n \n \n \n \n \n Anisotropic diffusion equations for adaptive quadratic representations.\n \n \n \n \n\n\n \n Gosme, J.; Richard, C.; and Goncalves, P.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 12th European Conference on, 2004. \n \n\n\n\n
\n\n\n\n \n \n \"Anisotropic paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{gosme2004anisotropic,\n\tauthor = {Gosme, Julien and Richard, Cédric and Goncalves, Paulo},\n\tbooktitle = {Signal Processing (EUSIPCO), 12th European Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\ttitle = {Anisotropic diffusion equations for adaptive quadratic representations},\n\turl_paper = {Articles/gosme2004anisotropic.pdf},\n\tyear = {2004}}\n\n
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\n \n\n \n \n \n \n \n \n Second-order measures of quality for binary classification: A critical overview and their use for nonlinear receiver design.\n \n \n \n \n\n\n \n Abdallah, F.; Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n International Journal of Smart Engineering System Design, 5(4): 401-408. 2003.\n \n\n\n\n
\n\n\n\n \n \n \"Second-order paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{abdallah2003second,\n\tauthor = {Abdallah, Fahed and Richard, Cédric and Lengellé, Régis},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {International Journal of Smart Engineering System Design},\n\tnumber = {4},\n\tpages = {401-408},\n\tpublisher = {Taylor and Francis},\n\ttitle = {Second-order measures of quality for binary classification: A critical overview and their use for nonlinear receiver design},\n\turl_paper = {Articles/abdallah2003second.pdf},\n\tvolume = {5},\n\tyear = {2003}}\n\n
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\n \n\n \n \n \n \n \n \n Kernel second-order discriminants versus support vector machines.\n \n \n \n \n\n\n \n Abdallah, F.; Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2003 IEEE International Conference on, volume 6, pages VI-149, 2003. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Kernel paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{abdallah2003kernel,\n\tauthor = {Abdallah, Fahed and Richard, Cédric and Lengellé, Régis},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2003 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {classification: one-class and multiclass},\n\torganization = {IEEE},\n\tpages = {VI-149},\n\ttitle = {Kernel second-order discriminants versus support vector machines},\n\turl_paper = {Articles/abdallah2003kernel.pdf},\n\tvolume = {6},\n\tyear = {2003}}\n\n
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\n \n\n \n \n \n \n \n \n Algorithme d'apprentissage séquentiel pour la méthode KFD Relations avec la méthode KPCA.\n \n \n \n \n\n\n \n Richard, C.; and Abdallah, F.\n\n\n \n\n\n\n In Actes du 19e Colloque GRETSI sur le Traitement du Signal et des Images, 2003. \n \n\n\n\n
\n\n\n\n \n \n \"Algorithme paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{richard2003algorithme,\n\tauthor = {Richard, Cédric and Abdallah, Fahed},\n\tbooktitle = {Actes du 19e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Algorithme d'apprentissage séquentiel pour la méthode KFD Relations avec la méthode KPCA},\n\turl_paper = {Articles/richard2003algorithme.pdf},\n\tyear = {2003}}\n\n
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\n \n\n \n \n \n \n \n \n Structures à noyau reproduisant pour le filtrage adaptatif.\n \n \n \n \n\n\n \n Richard, C.; Lengellé, R.; Constantine, I.; and Soufflet, L.\n\n\n \n\n\n\n In Actes du 19e Colloque GRETSI sur le Traitement du Signal et des Images, 2003. \n \n\n\n\n
\n\n\n\n \n \n \"Structures paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard2003structures,\n\tauthor = {Richard, Cédric and Lengellé, Régis and Constantine, Ibtissam and Soufflet, Laurent},\n\tbooktitle = {Actes du 19e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {kernel adaptive filtering},\n\ttitle = {Structures à noyau reproduisant pour le filtrage adaptatif},\n\turl_paper = {Articles/richard2003structures.pdf},\n\tyear = {2003}}\n\n
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\n \n\n \n \n \n \n \n \n Une nouvelle approche pour la construction de classes de représentations non-linéaires de signaux.\n \n \n \n \n\n\n \n Gosme, J.; and Richard, C.\n\n\n \n\n\n\n In Actes du 19e Colloque GRETSI sur le Traitement du Signal et des Images, 2003. \n \n\n\n\n
\n\n\n\n \n \n \"Une paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{gosme2003nouvelle,\n\tauthor = {Gosme, Julien and Richard, Cédric},\n\tbooktitle = {Actes du 19e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\ttitle = {Une nouvelle approche pour la construction de classes de représentations non-linéaires de signaux},\n\turl_paper = {Articles/gosme2003nouvelle.pdf},\n\tyear = {2003}}\n\n
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\n \n\n \n \n \n \n \n \n Time-frequency-based detection using discrete-time discrete-frequency Wigner distributions.\n \n \n \n \n\n\n \n Richard, C.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 50(9): 2170-2176. 2002.\n \n\n\n\n
\n\n\n\n \n \n \"Time-frequency-based paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{richard2002time,\n\tauthor = {Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {time-frequency analysis},\n\tnumber = {9},\n\tpages = {2170-2176},\n\tpublisher = {IEEE},\n\ttitle = {Time-frequency-based detection using discrete-time discrete-frequency Wigner distributions},\n\turl_paper = {Articles/richard2002time.pdf},\n\tvolume = {50},\n\tyear = {2002}}\n\n
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\n \n\n \n \n \n \n \n \n Bayes-optimal detectors design using relevant second-order criteria.\n \n \n \n \n\n\n \n Richard, C.; Lengelle, R.; and Abdallah, F.\n\n\n \n\n\n\n Signal Processing Letters, IEEE, 9(1): 32-33. 2002.\n \n\n\n\n
\n\n\n\n \n \n \"Bayes-optimal paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{richard2002bayes,\n\tauthor = {Richard, Cédric and Lengelle, Regis and Abdallah, Fahed},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing Letters, IEEE},\n\tnumber = {1},\n\tpages = {32-33},\n\tpublisher = {IEEE},\n\ttitle = {Bayes-optimal detectors design using relevant second-order criteria},\n\turl_paper = {Articles/richard2002bayes.pdf},\n\tvolume = {9},\n\tyear = {2002}}\n\n
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\n \n\n \n \n \n \n \n \n Classification en temps-fréquence à partir de données expertisées.\n \n \n \n \n\n\n \n Coatanhay, A.; Richard, C.; and Staner, L.\n\n\n \n\n\n\n Extraction des connaissances et apprentissage, 4(1): 293-304. 2002.\n \n\n\n\n
\n\n\n\n \n \n \"Classification paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{coatanhay2002classification,\n\tauthor = {Coatanhay, Arnaud and Richard, Cédric and Staner, Luc},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Extraction des connaissances et apprentissage},\n\tnumber = {1},\n\tpages = {293-304},\n\ttitle = {Classification en temps-fréquence à partir de données expertisées},\n\turl_paper = {Articles/coatanhay2002classification.pdf},\n\tvolume = {4},\n\tyear = {2002}}\n\n
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\n  \n inbook\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Autres applications.\n \n \n \n \n\n\n \n Brie, D.; Lengellé, R.; Nikiforov, I.; and Richard, C.\n\n\n \n\n\n\n Décision et reconnaissance des formes en signal. Lengellé, R., editor(s). Hermès, Lavoisier edition, 2002.\n \n\n\n\n
\n\n\n\n \n \n \"Décision paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inbook{brie2002autres,\n\tauthor = {Brie, David and Lengellé, Régis and Nikiforov, Igor and Richard, Cédric},\n\tchapter = {Autres applications},\n\tdate-added = {2013-04-03 16:34:26 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tedition = {Lavoisier},\n\teditor = {Régis Lengellé},\n\tjournal = {Traité IC2},\n\tnumber = {10},\n\tpublisher = {Hermès},\n\ttitle = {Décision et reconnaissance des formes en signal},\n\turl_paper = {Articles/brie2002autres.pdf},\n\tyear = {2002}}\n\n
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\n \n\n \n \n \n \n \n \n Apprentissage de règles de décision à structure imposée et contrôle de la complexité.\n \n \n \n \n\n\n \n Lengellé, R.; and Richard, C.\n\n\n \n\n\n\n Décision et reconnaissance des formes en signal. Lengellé, R., editor(s). Hermès, Lavoisier edition, 2002.\n \n\n\n\n
\n\n\n\n \n \n \"Décision paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inbook{lengelle2002apprentissage,\n\tauthor = {Lengellé, Régis and Richard, Cédric},\n\tchapter = {Apprentissage de règles de décision à structure imposée et contrôle de la complexité},\n\tdate-added = {2013-04-03 16:30:42 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tedition = {Lavoisier},\n\teditor = {Régis Lengellé},\n\tjournal = {Traité IC2},\n\tnumber = {4},\n\tpublisher = {Hermès},\n\ttitle = {Décision et reconnaissance des formes en signal},\n\turl_paper = {Articles/lengelle2002apprentissage.pdf},\n\tyear = {2002}}\n\n
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\n  \n inproceedings\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n \n On equivalence between detectors obtained from second-order measures of performance.\n \n \n \n \n\n\n \n Abdallah, F.; Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 11th European Conference on, pages 3-6, 2002. \n \n\n\n\n
\n\n\n\n \n \n \"On paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{abdallah2002equivalence,\n\tauthor = {Abdallah, Fahed and Richard, Cédric and Lengellé, Régis},\n\tbooktitle = {Signal Processing (EUSIPCO), 11th European Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tpages = {3-6},\n\ttitle = {On equivalence between detectors obtained from second-order measures of performance},\n\turl_paper = {Articles/abdallah2002equivalence.pdf},\n\tyear = {2002}}\n\n
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\n \n\n \n \n \n \n \n \n Adaptive diffusion and discriminant analysis for complexity control of time-frequency detectors.\n \n \n \n \n\n\n \n Gosme, J.; Goncalves, P.; Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n In Signal Processing (EUSIPCO), 11th European Conference on, 2002. \n \n\n\n\n
\n\n\n\n \n \n \"Adaptive paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{gosme2002adaptive,\n\tauthor = {Gosme, Julien and Goncalves, Paulo and Richard, Cédric and Lengellé, Régis},\n\tbooktitle = {Signal Processing (EUSIPCO), 11th European Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\ttitle = {Adaptive diffusion and discriminant analysis for complexity control of time-frequency detectors},\n\turl_paper = {Articles/gosme2002adaptive.pdf},\n\tyear = {2002}}\n\n
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\n \n\n \n \n \n \n \n \n On virtues and vices of second-order measures of quality for binary classification.\n \n \n \n \n\n\n \n Abdallah, F.; Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n In ANNIE, pages 10-13, 2002. \n \n\n\n\n
\n\n\n\n \n \n \"On paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{abdallah2002virtues,\n\tauthor = {Abdallah, Fahed and Richard, Cédric and Lengellé, Régis},\n\tbooktitle = {ANNIE},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tpages = {10-13},\n\ttitle = {On virtues and vices of second-order measures of quality for binary classification},\n\turl_paper = {Articles/abdallah2002virtues.pdf},\n\tyear = {2002}}\n\n
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\n \n\n \n \n \n \n \n \n Mixture of experts for automated detection of phasic arousals in sleep signals.\n \n \n \n \n\n\n \n Viardot, G.; Lengellé, R.; and Richard, C.\n\n\n \n\n\n\n In Systems, Man and Cybernetics, 2002 IEEE International Conference on, volume 1, pages 551-555, 2002. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Mixture paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{viardot2002mixture,\n\tauthor = {Viardot, Geoffrey and Lengellé, Régis and Richard, Cédric},\n\tbooktitle = {Systems, Man and Cybernetics, 2002 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\tpages = {551-555},\n\ttitle = {Mixture of experts for automated detection of phasic arousals in sleep signals},\n\turl_paper = {Articles/viardot2002mixture.pdf},\n\tvolume = {1},\n\tyear = {2002}}\n\n
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\n \n\n \n \n \n \n \n \n A method for designing nonlinear kernel-based discriminant functions from the class of second-order criteria.\n \n \n \n \n\n\n \n Abdallah, F.; Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n In Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on, volume 1, pages 939-942, 2002. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{abdallah2002method,\n\tauthor = {Abdallah, Fahed and Richard, Cédric and Lengellé, Régis},\n\tbooktitle = {Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {classification: one-class and multiclass},\n\torganization = {IEEE},\n\tpages = {939-942},\n\ttitle = {A method for designing nonlinear kernel-based discriminant functions from the class of second-order criteria},\n\turl_paper = {Articles/abdallah2002method.pdf},\n\tvolume = {1},\n\tyear = {2002}}\n\n
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\n  \n phdthesis\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Méthodes à noyau et critères de contraste pour la détection à structure imposée (HDR).\n \n \n \n \n\n\n \n Richard, C.\n\n\n \n\n\n\n Ph.D. Thesis, Université de Technologie de Compiègne, 2002.\n \n\n\n\n
\n\n\n\n \n \n \"Méthodes paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@phdthesis{richard2002methodes,\n\tauthor = {Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tschool = {Université de Technologie de Compiègne},\n\ttitle = {Méthodes à noyau et critères de contraste pour la détection à structure imposée (HDR)},\n\turl_paper = {Articles/richard2002methodes.pdf},\n\tyear = {2002}}\n\n
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\n \n\n \n \n \n \n \n \n Linear redundancy of information carried by the discrete Wigner distribution.\n \n \n \n \n\n\n \n Richard, C.\n\n\n \n\n\n\n Signal Processing, IEEE Transactions on, 49(11): 2536-2544. 2001.\n \n\n\n\n
\n\n\n\n \n \n \"Linear paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{richard2001linear,\n\tauthor = {Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing, IEEE Transactions on},\n\tkeywords = {time-frequency analysis},\n\tnumber = {11},\n\tpages = {2536-2544},\n\tpublisher = {IEEE},\n\ttitle = {Linear redundancy of information carried by the discrete Wigner distribution},\n\turl_paper = {Articles/richard2001linear.pdf},\n\tvolume = {49},\n\tyear = {2001}}\n\n
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\n  \n inproceedings\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n Optimisation de critères de contraste et des performances en détection.\n \n \n \n \n\n\n \n Richard, C.; Lengellé, R.; and Abdallah, F.\n\n\n \n\n\n\n In Actes du 18e Colloque GRETSI sur le Traitement du Signal et des Images, 2001. \n \n\n\n\n
\n\n\n\n \n \n \"Optimisation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{richard2001optimisation,\n\tauthor = {Richard, Cédric and Lengellé, Régis and Abdallah, Fahed},\n\tbooktitle = {Actes du 18e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Optimisation de critères de contraste et des performances en détection},\n\turl_paper = {Articles/richard2001optimisation.pdf},\n\tyear = {2001}}\n\n
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\n \n\n \n \n \n \n \n \n Discrétisation des détecteurs temps-fréquence Problèmes en découlant et éléments de solution.\n \n \n \n \n\n\n \n Richard, C.\n\n\n \n\n\n\n In Actes du 18e Colloque GRETSI sur le Traitement du Signal et des Images, 2001. \n \n\n\n\n
\n\n\n\n \n \n \"Discrétisation paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard2001discretisation,\n\tauthor = {Richard, Cédric},\n\tbooktitle = {Actes du 18e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\ttitle = {Discrétisation des détecteurs temps-fréquence Problèmes en découlant et éléments de solution},\n\turl_paper = {Articles/richard2001discretisation.pdf},\n\tyear = {2001}}\n\n
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\n \n\n \n \n \n \n \n \n Fusion d'avis d'experts et caractérisation de l'expertise. Application à la détection de transitoires dans les signaux physiologiques.\n \n \n \n \n\n\n \n Viardot, G.; Lengellé, R.; Richard, C.; and Coatanhay, A.\n\n\n \n\n\n\n In Actes du 18e Colloque GRETSI sur le Traitement du Signal et des Images, 2001. \n \n\n\n\n
\n\n\n\n \n \n \"Fusion paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{viardot2001fusion,\n\tauthor = {Viardot, Geoffrey and Lengellé, Régis and Richard, Cédric and Coatanhay, Arnaud},\n\tbooktitle = {Actes du 18e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Fusion d'avis d'experts et caractérisation de l'expertise. Application à la détection de transitoires dans les signaux physiologiques},\n\turl_paper = {Articles/viardot2001fusion.pdf},\n\tyear = {2001}}\n\n
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\n \n\n \n \n \n \n \n \n Time-frequency analysis of near-field optical data for extracting local attributes.\n \n \n \n \n\n\n \n Barchiesi, D.; and Richard, C.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2001 IEEE International Conference on, volume 6, pages 3565-3568, 2001. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Time-frequency paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{barchiesi2001time,\n\tauthor = {Barchiesi, Dominique and Richard, Cédric},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2001 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\torganization = {IEEE},\n\tpages = {3565-3568},\n\ttitle = {Time-frequency analysis of near-field optical data for extracting local attributes},\n\turl_paper = {Articles/barchiesi2001time.pdf},\n\tvolume = {6},\n\tyear = {2001}}\n\n
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\n \n\n \n \n \n \n \n Optical near-field data analysis through time-frequency distributions: application to the characterization and separation of the image spectral content by reassignment.\n \n \n \n\n\n \n Gharbi, T.; Barchiesi, D.; Bergossi, O.; Wioland, H.; and Richard, C.\n\n\n \n\n\n\n JOSA A, 17(12): 2513-2519. 2000.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{gharbi2000optical,\n\tauthor = {Gharbi, Tijani and Barchiesi, Dominique and Bergossi, Olivier and Wioland, Hervé and Richard, Cédric},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {JOSA A},\n\tkeywords = {time-frequency analysis},\n\tnumber = {12},\n\tpages = {2513-2519},\n\tpublisher = {Optical Society of America},\n\ttitle = {Optical near-field data analysis through time-frequency distributions: application to the characterization and separation of the image spectral content by reassignment},\n\tvolume = {17},\n\tyear = {2000}}\n\n
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\n \n\n \n \n \n \n \n \n Neural network based fuzzy membership function estimation. Application to uncertain time-varying systems supervision.\n \n \n \n \n\n\n \n Lengellé, R.; Richard, C.; and Milleman, S.\n\n\n \n\n\n\n In Intelligent Signal Processing and Communication Systems (ISPACS), 2000 International Symposium on, 2000. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Neural paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lengelle2000neural,\n\tauthor = {Lengellé, Régis and Richard, Cédric and Milleman, Sylvain},\n\tbooktitle = {Intelligent Signal Processing and Communication Systems (ISPACS), 2000 International Symposium on},\n\tdate-added = {2013-04-03 17:07:14 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\torganization = {IEEE},\n\ttitle = {Neural network based fuzzy membership function estimation. Application to uncertain time-varying systems supervision},\n\turl_paper = {Articles/lengelle2000neural.pdf},\n\tyear = {2000}}\n\n
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\n \n\n \n \n \n \n \n \n Automated detection of K-complexes: characterization of benzodiazepine effects.\n \n \n \n \n\n\n \n Coatanhay, A.; Richard, C.; Lengellé, R.; Muzet, A.; and Macher, J.\n\n\n \n\n\n\n In European Sleep Research Society, Congress of, 2000. \n \n\n\n\n
\n\n\n\n \n \n \"Automated paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{coatanhay2000automated,\n\tauthor = {Coatanhay, Arnaud and Richard, Cédric and Lengellé, Régis and Muzet, Alain and Macher, Jean-Paul},\n\tbooktitle = {European Sleep Research Society, Congress of},\n\tdate-added = {2013-04-03 16:14:02 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Automated detection of K-complexes: characterization of benzodiazepine effects},\n\turl_paper = {Articles/coatanhay2000automated.pdf},\n\tyear = {2000}}\n\n
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\n \n\n \n \n \n \n \n \n On the linear relations connecting the components of the discrete Wigner distribution in the case of real-valued signals.\n \n \n \n \n\n\n \n Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 2000 IEEE International Conference on, volume 1, pages 85-88, 2000. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"On paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard2000linear,\n\tauthor = {Richard, Cédric and Lengellé, Régis},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 2000 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\torganization = {IEEE},\n\tpages = {85-88},\n\ttitle = {On the linear relations connecting the components of the discrete Wigner distribution in the case of real-valued signals},\n\turl_paper = {Articles/richard2000linear.pdf},\n\tvolume = {1},\n\tyear = {2000}}\n\n
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\n \n\n \n \n \n \n \n \n Data-driven design and complexity control of time-frequency detectors.\n \n \n \n \n\n\n \n Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n Signal processing, 77(1): 37-48. 1999.\n \n\n\n\n
\n\n\n\n \n \n \"Data-driven paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{richard1999data,\n\tauthor = {Richard, Cédric and Lengellé, Régis},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal processing},\n\tkeywords = {time-frequency analysis},\n\tnumber = {1},\n\tpages = {37-48},\n\tpublisher = {Elsevier},\n\ttitle = {Data-driven design and complexity control of time-frequency detectors},\n\turl_paper = {Articles/richard1999data.pdf},\n\tvolume = {77},\n\tyear = {1999}}\n\n
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\n  \n inproceedings\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n A new approach to the K-complexes automated detection.\n \n \n \n \n\n\n \n Coatanhay, A.; Richard, C.; Lengelle, R.; Muzet, A.; and Macher, J.\n\n\n \n\n\n\n In World Federation of Sleep Research and Sleep Medecine Societies, 1999 Congress of, 1999. \n \n\n\n\n
\n\n\n\n \n \n \"A paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{coatanhay1999time,\n\tauthor = {Coatanhay, Arnaud and Richard, Cédric and Lengelle, Regis and Muzet, Alain and Macher, Jean-Paul},\n\tbooktitle = {World Federation of Sleep Research and Sleep Medecine Societies, 1999 Congress of},\n\tdate-added = {2013-04-04 06:50:22 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {A new approach to the K-complexes automated detection},\n\turl_paper = {Articles/coatanhay1999time.pdf},\n\tyear = {1999}}\n\n
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\n \n\n \n \n \n \n \n \n Sur le contrôle de la complexité des détecteurs opérant dans le domaine temps-fréquence par le biais de la fonction de paramétrisation.\n \n \n \n \n\n\n \n Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n In Actes du 17e Colloque GRETSI sur le Traitement du Signal et des Images, 1999. \n \n\n\n\n
\n\n\n\n \n \n \"Sur paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard1999controle,\n\tauthor = {Richard, Cédric and Lengellé, Régis},\n\tbooktitle = {Actes du 17e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\ttitle = {Sur le contrôle de la complexité des détecteurs opérant dans le domaine temps-fréquence par le biais de la fonction de paramétrisation},\n\turl_paper = {Articles/richard1999controle.pdf},\n\tyear = {1999}}\n\n
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\n  \n 1998\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Joint time and time-frequency optimal detection of K-complexes in sleep EEG.\n \n \n \n \n\n\n \n Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n Computers and Biomedical Research, 31(3): 209-229. 1998.\n \n\n\n\n
\n\n\n\n \n \n \"Joint paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{richard1998joint,\n\tauthor = {Richard, Cédric and Lengellé, Régis},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Computers and Biomedical Research},\n\tkeywords = {time-frequency analysis},\n\tnumber = {3},\n\tpages = {209-229},\n\tpublisher = {Elsevier},\n\ttitle = {Joint time and time-frequency optimal detection of K-complexes in sleep EEG},\n\turl_paper = {Articles/richard1998joint.pdf},\n\tvolume = {31},\n\tyear = {1998}}\n\n
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\n \n\n \n \n \n \n \n \n Détection automatique des phénomènes transitoires de l'EEG par analyse temps-fréquence.\n \n \n \n \n\n\n \n Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n Innovation et technologie en biologie et médecine, 19(3): 167-177. 1998.\n \n\n\n\n
\n\n\n\n \n \n \"Détection paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{richard1998detect,\n\tauthor = {Richard, Cédric and Lengellé, Régis},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Innovation et technologie en biologie et médecine},\n\tkeywords = {time-frequency analysis},\n\tnumber = {3},\n\tpages = {167-177},\n\tpublisher = {ASTEC/ITBM},\n\ttitle = {Détection automatique des phénomènes transitoires de l'EEG par analyse temps-fréquence},\n\turl_paper = {Articles/richard1998detect.pdf},\n\tvolume = {19},\n\tyear = {1998}}\n\n
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\n \n\n \n \n \n \n \n \n Two algorithms for designing optimal reduced-bias data-driven time-frequency detectors.\n \n \n \n \n\n\n \n Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n In Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on, pages 601-604, 1998. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Two paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard1998two,\n\tauthor = {Richard, Cédric and Lengellé, Régis},\n\tbooktitle = {Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\torganization = {IEEE},\n\tpages = {601-604},\n\ttitle = {Two algorithms for designing optimal reduced-bias data-driven time-frequency detectors},\n\turl_paper = {Articles/richard1998two.pdf},\n\tyear = {1998}}\n\n
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\n \n\n \n \n \n \n \n \n Structural risk minimization for reduced-bias time-frequency-based detectors design.\n \n \n \n \n\n\n \n Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n In Acoustics Speech and Signal Processing (ICASSP), 1998 IEEE International Conference on, volume 4, pages 2397-2400, 1998. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Structural paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard1998structural,\n\tauthor = {Richard, Cédric and Lengellé, Régis},\n\tbooktitle = {Acoustics Speech and Signal Processing (ICASSP), 1998 IEEE International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\torganization = {IEEE},\n\tpages = {2397-2400},\n\ttitle = {Structural risk minimization for reduced-bias time-frequency-based detectors design},\n\turl_paper = {Articles/richard1998structural.pdf},\n\tvolume = {4},\n\tyear = {1998}}\n\n
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\n \n\n \n \n \n \n \n \n On the dimension of the discrete Wigner-Ville transform range space: application to time-frequency based detectors design.\n \n \n \n \n\n\n \n Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n In Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on, pages 5-8, 1998. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"On paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard1998dimension,\n\tauthor = {Richard, Cédric and Lengellé, Régis},\n\tbooktitle = {Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\torganization = {IEEE},\n\tpages = {5-8},\n\ttitle = {On the dimension of the discrete Wigner-Ville transform range space: application to time-frequency based detectors design},\n\turl_paper = {Articles/richard1998dimension.pdf},\n\tyear = {1998}}\n\n
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\n  \n phdthesis\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Une méthodologie pour la détection à structure imposée. Applications au plan temps-fréquence.\n \n \n \n \n\n\n \n Richard, C.\n\n\n \n\n\n\n Ph.D. Thesis, Université de Technologie de Compiègne, 1998.\n \n\n\n\n
\n\n\n\n \n \n \"Une paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@phdthesis{richard1998methodologie,\n\tauthor = {Richard, Cédric},\n\tdate-added = {2013-05-02 15:32:54 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\tschool = {Université de Technologie de Compiègne},\n\ttitle = {Une méthodologie pour la détection à structure imposée. Applications au plan temps-fréquence},\n\turl_paper = {Articles/richard1998methodologie.pdf},\n\tyear = {1998}}\n\n
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\n \n\n \n \n \n \n \n \n Joint recursive implementation of time-frequency representations and their modified version by the reassignment method.\n \n \n \n \n\n\n \n Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n Signal Processing, 60(2): 163-179. 1997.\n \n\n\n\n
\n\n\n\n \n \n \"Joint paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{richard1997joint,\n\tauthor = {Richard, Cédric and Lengellé, Régis},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tjournal = {Signal Processing},\n\tkeywords = {time-frequency analysis},\n\tnumber = {2},\n\tpages = {163-179},\n\tpublisher = {Elsevier},\n\ttitle = {Joint recursive implementation of time-frequency representations and their modified version by the reassignment method},\n\turl_paper = {Articles/richard1997joint.pdf},\n\tvolume = {60},\n\tyear = {1997}}\n\n
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\n \n\n \n \n \n \n \n \n Une nouvelle approche pour la détection linéaire optimale dans le plan temps-fréquence.\n \n \n \n \n\n\n \n Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n In Actes du 16e Colloque GRETSI sur le Traitement du Signal et des Images, 1997. \n \n\n\n\n
\n\n\n\n \n \n \"Une paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard1997nouvelle,\n\tauthor = {Richard, Cédric and Lengellé, Régis},\n\tbooktitle = {Actes du 16e Colloque GRETSI sur le Traitement du Signal et des Images},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\ttitle = {Une nouvelle approche pour la détection linéaire optimale dans le plan temps-fréquence},\n\turl_paper = {Articles/richard1997nouvelle.pdf},\n\tyear = {1997}}\n\n
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\n \n\n \n \n \n \n \n \n Recursive implementation of some time-frequency representations.\n \n \n \n \n\n\n \n Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n In Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on, pages 313-316, 1996. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Recursive paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard1996recursive,\n\tauthor = {Richard, Cédric and Lengellé, Régis},\n\tbooktitle = {Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\torganization = {IEEE},\n\tpages = {313-316},\n\ttitle = {Recursive implementation of some time-frequency representations},\n\turl_paper = {Articles/richard1996recursive.pdf},\n\tyear = {1996}}\n\n
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\n \n\n \n \n \n \n \n \n Fast implementation of time-frequency representations modified by the reassignment method.\n \n \n \n \n\n\n \n Richard, C.; and Lengellé, R.\n\n\n \n\n\n\n In Signal Processing, 1996., 3rd International Conference on, volume 1, pages 343-346, 1996. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Fast paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{richard1996fast,\n\tauthor = {Richard, Cédric and Lengellé, Régis},\n\tbooktitle = {Signal Processing, 1996., 3rd International Conference on},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\tkeywords = {time-frequency analysis},\n\torganization = {IEEE},\n\tpages = {343-346},\n\ttitle = {Fast implementation of time-frequency representations modified by the reassignment method},\n\turl_paper = {Articles/richard1996fast.pdf},\n\tvolume = {1},\n\tyear = {1996}}\n\n
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\n \n\n \n \n \n \n \n Analyse de la perception acoustique de véhicules.\n \n \n \n\n\n \n Bardot, A.; Richard, C.; and Masson, M.\n\n\n \n\n\n\n In Société des Ingénieurs de l'Automobile, Colloque de, 1995. \n \n\n\n\n
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@inproceedings{bardot1995analyse,\n\tauthor = {Bardot, Anne and Richard, Cédric and Masson, Marie-Hélène},\n\tbooktitle = {Société des Ingénieurs de l'Automobile, Colloque de},\n\tdate-added = {2013-04-04 07:07:45 +0000},\n\tdate-modified = {2022-04-07 16:34:39 +0200},\n\ttitle = {Analyse de la perception acoustique de véhicules},\n\tyear = {1995}}\n\n
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