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1:16:00
Microsoft
Algorithms for Near-Separable Nonnegative Matrix Factorization
The goal in nonnegative matrix factorization (NMF) is to express, exactly or approximately, a given matrix as a product of two nonnegative matrices of smaller inner dimension. NMFs arise naturally in a variety of signal separation and unsupervised feature extraction problems, such as modeling topics in text and analyzing Hyperspectral images ...
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