296 search results - page 13 / 60 » Weighted nonnegative matrix factorization |
200
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Publication
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
147
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JMLR
2006
2006
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming
15 years 3 months ago
We exploit the biconvex nature of the Euclidean non-negative matrix factorization (NMF) optimization problem to derive optimization schemes based on sequential quadratic and secon...
140
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WEBI
2007
Springer
15 years 10 months ago
2007
Springer
Nonnegative Matrix Factorization (NMF) has been proven to be effective in text mining. However, since NMF is a well-known unsupervised components analysis technique, the existing ...
131
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
130
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CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...