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SADM
2008
178views more  SADM 2008»
13 years 10 months ago
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
SDM
2007
SIAM
138views Data Mining» more  SDM 2007»
14 years 17 days ago
Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
CORR
2010
Springer
200views Education» more  CORR 2010»
13 years 11 months ago
A Multilevel Approach For Nonnegative Matrix Factorization
Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative matrix with the product of two low-rank nonnegative matrices and has been shown to be particul...
Nicolas Gillis, François Glineur
ICASSP
2009
IEEE
13 years 9 months ago
Weighted nonnegative matrix factorization
Nonnegative matrix factorization (NMF) is a widely-used method for low-rank approximation (LRA) of a nonnegative matrix (matrix with only nonnegative entries), where nonnegativity...
Yong-Deok Kim, Seungjin Choi
JAIR
2002
163views more  JAIR 2002»
13 years 10 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu