Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 1
Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization
Nicolas Gillis
Video in druga učna gradiva
Oznake: computer science;compressed sensing;machine learning;regularization;optimization methods;kernel methods;support vector machines
Nonnegative matrix factorization (NMF) has been shown recently to be tractable under the separability assumption, which amounts for the columns of the input data matrix to belong to the convex cone generated by a small number of columns. Bittorf, Recht, R´e and Tropp (‘Factoring nonnegative matrices ...
Leto: 2013 Vir: videolectures.net
Št. zadetkov: 1
Ključne besede:
Leto izdaje:
Repozitorij:
Tipologija:
Jezik: