Sciweavers

28 search results - page 1 / 6
» Fast Projection-Based Methods for the Least Squares Nonnegat...
Sort
View
SADM
2008
178views more  SADM 2008»
13 years 3 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»
13 years 5 months 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 4 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 2 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 4 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