DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. He, L., Kong, X., Yu, P. S., Yang, X., Ragin, A. B., & Hao, Z. In Zaki, M. J., Obradovic, Z., Tan, P., Banerjee, A., Kamath, C., & Parthasarathy, S., editors, Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014, pages 127–135, 2014. SIAM.

Paper doi bibtex

@inproceedings{DBLP:conf/sdm/HeKYYRH14,
  author    = {Lifang He and
               Xiangnan Kong and
               Philip S. Yu and
               Xiaowei Yang and
               Ann B. Ragin and
               Zhifeng Hao},
  editor    = {Mohammed Javeed Zaki and
               Zoran Obradovic and
               Pang{-}Ning Tan and
               Arindam Banerjee and
               Chandrika Kamath and
               Srinivasan Parthasarathy},
  title     = {DuSK: {A} Dual Structure-preserving Kernel for Supervised Tensor Learning
               with Applications to Neuroimages},
  booktitle = {Proceedings of the 2014 {SIAM} International Conference on Data Mining,
               Philadelphia, Pennsylvania, USA, April 24-26, 2014},
  pages     = {127--135},
  publisher = {{SIAM}},
  year      = {2014},
  url       = {https://doi.org/10.1137/1.9781611973440.15},
  doi       = {10.1137/1.9781611973440.15},
  timestamp = {Wed, 14 Nov 2018 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/conf/sdm/HeKYYRH14.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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