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cdric richard | professor at nice sophia antipolis university (france) home about me publications courses collaborations contact news! phd thesis proposal distributed estimation over multitask networks please contact me period to apply: may, 1 to june, 6 [details] -- a book to appear next june 2018! cooperative and graph signal processing principles and applications petar m. djuric and cdric richard (eds.) 824 p. academic press [link] phd defense - rita ammanouil univ. nice sophia antipolis, france "contributions to unsupervised and nonlinear unmixing of hyperspectral data" (in english) [manuscript] -- http://www.eusipco2015.org -- phd defense - roula nassif univ. nice sophia antipolis, france "distributed adaptive estimation over multitask networks" (in english) [manuscript] (available soon) -- 5-8 sept. 2017: general co-chair, colloque gretsi 2016 juan-les-pins, france http://gretsi.fr/colloque2017/ 10-13 jul. 2016: special session chair, ieee sam 2016 rio de janeiro, brasil http://sam2016.cetuc.puc-rio.br 13-16 dec. 2015: technical co-chair, ieee camsap 2015 cancun, mexico http://inspire.rutgers.edu/camsap2015/ 31 aug.-4 sept. 2015: technical co-chair, eusipco 2015 nice, france http://www.eusipco2015.org special session at ieee mlsp 2014 machine learning for big data http://mlsp2014.conwiz.dk -- 22 feb. - 24 mar. 2014: 15 oct. - 15 nov. 2013: invited researcher federal university of santa catarina florianopolis, brazil collaboration: prof. j.-c. m. bermudez 22 sept. 2013: tutorial at ieee mlsp 2013 "nonlinear system identification in reproducing kernel hilbert space: theory and applications" [slides] [matlab] http://mlsp2013.conwiz.dk -- i am currently a professor in the laboratoire lagrange (umr cnrs 7293, observatoire de la cte d'azur), at the university of nice sophia-antipolis. i have been a member of the institut universitaire de france (iuf) in 2010-2015. my research interests lie at the intersection of statistical signal processing and machine learning, and how they have synergistic effects on system monitoring. in particular, my recent research works mostly focus on online system identification in a variety of forms, including nonlinear adaptive signal processing adaptive filtering subject to equality/inequality constraints diffusion adaptation and learning over networks one of the applications of these derivations concerns hyperspectral data processing, which can be considered as a big data problem that requires online processing techniques. selected recent publ ications of what i am working on: nonlinear adaptive processing (identification, inverse modeling, prediction, noise cancelling) of time series data with kernels richard, c., bermudez, j.-c., et honeine, p. online prediction of time series data with kernels. ieee transactions on signal processing , 2009, vol. 57, n° 3, p. 1058-1067. [ pdf ][ matlab ] parreira, w., bermudez, j.-c., richard, c., et tourneret, j.-y. stochastic behavior analysis of the gaussian kernel-least-mean-square algorithm. ieee transactions on signal processing, 2012, vol. 60, n° 5, p. 2208-2222. [ pdf ][ matlab ] richard, c., et bermudez, j.-c. closed-form conditions for convergence of the gaussian kernel-least-mean-square algorithm. asilomar'12, 4-7 november 2012, pacific grove. [ pdf ][ matlab ] adaptive filtering subject to inequality /equality constraints chen, j., richard, c., bermudez, j., et honeine, p. non-negative least-mean-square algorithm. ieee transactions on signal processing, 2011, vol. 59, n°11, p. 5225-5235. [ pdf ][ matlab ] chen, j., richard, c., bermudez, j.-c., et honeine, p. a modified non-negative lms algorithm and its stochastic behavior analysis. asilomar’11, 6-9 november 2011, pacific grove. [ pdf ][ matlab ] nonlinear unmixing. applications to hyperspectral data analysis chen, j., richard, c., et honeine, p. nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model. ieee transactions on signal processing, 2013, vol. 61 n°2, 480-492. [ pdf ][ matlab ] chen, j., richard, c., et honeine. a novel kernel-based nonlinear unmixing scheme of hyperspectral images. asilomar’11 , 6-9 november 2011, pacific grove. [ pdf ][ matlab ] honeine, p., et richard, c. geometric unmixing of large hyperspectral images: a barycentric coordinate approach. ieee transactions on geoscience and remote sensing , 2012, vol. 50 n6, 2185-2195. [ pdf ] --- >>> new: list of all my publications with pdf (and codes) available
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