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videolectures.net
Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization
Nonnegative matrix factorization (NMF) has been shown recently to be tractableunder the separability assumption, which amounts for the columns of the input data matrixto belong to the convex cone generated by a small number of columns. Bittorf, Recht, R´eand Tropp (‘Factoring nonnegative matrices with linear programs’, NIPS 2012) proposed ...
5.6K views
Aug 26, 2013
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