296 search results - page 7 / 60 » Weighted nonnegative matrix factorization |
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
Nonnegative Matrix Factorization (NMF) approximates a given data matrix as a product of two low rank nonnegative matrices, usually by minimizing the L2 or the KL distance between ...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
This paper introduces a novel algorithm for the nonnegative matrix factorization and completion problem, which aims to find nonnegative matrices X and Y from a subset of entries o...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
We present a technique for denoising speech using nonnegative matrix factorization (NMF) in combination with statistical speech and noise models. We compare our new technique to s...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Nonnegative matrix factorization (NMF) was popularized as a tool for data mining by Lee and Seung in 1999. NMF attempts to approximate a matrix with nonnegative entries by a produ...
TNN
2008
13 years 7 months ago
2008
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...