Distributed learning with kernels in wireless sensor networks for physical phenomena modeling and tracking

Distributed learning with kernels in wireless sensor networks for physical phenomena modeling and tracking. Richard, C., Honeine, P., Snoussi, H., Ferrari, A., & Theys, C. In Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Honolulu (Hawaii), USA, 25 - 30 July, 2010.

Paper bibtex

@INPROCEEDINGS{10.wsn.physics,
   author =  "Cédric Richard and Paul Honeine and Hichem Snoussi and André Ferrari and Céline Theys",
   title =  "Distributed learning with kernels in wireless sensor networks for physical phenomena modeling and tracking",
   booktitle =  "Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS)",
   address =  "Honolulu (Hawaii), USA",
   year  =  "2010",
   month =  "25 - 30~" # jul,
   keywords  =  "machine learning, sparsity, adaptive filtering, wireless sensor networks",
   url_paper   =  "http://honeine.fr/paul/publi/10.wsn.physics.pdf",
   acronym =  "IGARSS",
}

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