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Fast Algorithms for Informed Source Separation
Augustin Lefèvre
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Oznake: computer science;machine learning;kernel methods;support vector machines;optimization methods;compressed sensing;regularization
We study a convex formulation of low-rank matrix factorization, in a special case where additional information on the factors is known. Our formulation is typically adapted to source separation scenarii, where additional information on the sources may be provided by an expert. Our formulation promot ...
Leto: 2013 Vir: videolectures.net
Št. zadetkov: 1
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