Sciweavers

280 search results - page 5 / 56
» Binary Matrix Factorization with Applications
Sort
View
CORR
2004
Springer
152views Education» more  CORR 2004»
13 years 7 months ago
Non-negative matrix factorization with sparseness constraints
Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non-negative data. Although it has successfully been a...
Patrik O. Hoyer
CVPR
2009
IEEE
13 years 11 months ago
Nonnegative Matrix Factorization with Earth Mover's Distance metric
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 ...
Roman Sandler, Michael Lindenbaum
ECCV
2008
Springer
13 years 8 months ago
Discriminative Locality Alignment
—This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing...
Tianhao Zhang, Dacheng Tao, Jie Yang
ICIP
2007
IEEE
14 years 9 months ago
Video Content Representation by Incremental Non-Negative Matrix Factorization
Nonnegative Matrix Factorization (NMF) is a powerful decomposition tool which has been used in several content representation applications recently. However, there are some diffic...
Bilge Günsel, Serhat Selcuk Bucak
BMCBI
2006
166views more  BMCBI 2006»
13 years 7 months ago
bioNMF: a versatile tool for non-negative matrix factorization in biology
Background: In the Bioinformatics field, a great deal of interest has been given to Non-negative matrix factorization technique (NMF), due to its capability of providing new insig...
Alberto D. Pascual-Montano, Pedro Carmona-Saez, Mo...