MLSP-L2: Tensor and Structured Matrix Methods I |
Session Type: Lecture |
Time: Tuesday, March 7, 13:30 - 15:30 |
Location: Grand Salon 3 |
Session Chair: Robert Jenssen, University of Tromso
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MLSP-L2.1: MULTIMODAL SPARSE BAYESIAN DICTIONARY LEARNING APPLIED TO MULTIMODAL DATA CLASSIFICATION |
Igor Fedorov; University of California, San-Diego |
Bhaskar D. Rao; University of California, San-Diego |
Truong Q. Nguyen; University of California, San-Diego |
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MLSP-L2.2: PARALLELIZED STOCHASTIC GRADIENT MARKOV CHAIN MONTE CARLO ALGORITHMS FOR NON-NEGATIVE MATRIX FACTORIZATION |
Umut Simsekli; LTCI, Télécom ParisTech |
Alain Durmus; LTCI, Télécom ParisTech |
Roland Badeau; LTCI, Télécom ParisTech |
Gaël Richard; LTCI, Télécom ParisTech |
Eric Moulines; École Polytechnique |
Ali Taylan Cemgil; Bogazici University |
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MLSP-L2.3: BAYESIAN NONPARAMETRIC SUBSPACE ESTIMATION |
Clément Elvira; University of Lille |
Pierre Chainais; University of Lille |
Nicolas Dobigeon; University of Toulouse |
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MLSP-L2.4: SECOND-ORDER TENSOR-BASED CONVOLUTIVE ICA: DECONVOLUTION VERSUS TENSORIZATION |
Frederik Van Eeghem; KU Leuven |
Lieven De Lathauwer; KU Leuven Kulak |
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MLSP-L2.5: PRIMAL-DUAL ALGORITHMS FOR NON-NEGATIVE MATRIX FACTORIZATION WITH THE KULLBACK-LEIBLER DIVERGENCE |
Felipe Yanez; INSEAD |
Francis Bach; INRIA/École normale supérieure |
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MLSP-L2.6: A PROVABLE NONCONVEX MODEL FOR FACTORING NONNEGATIVE MATRICES |
Dung Tran; Johns Hopkins University |
Sang Chin; Johns Hopkins University |
Trac D. Tran; Johns Hopkins University |
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