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AAAI
2010
13 years 9 months ago
Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
Georgios Theocharous, Sridhar Mahadevan
ICASSP
2008
IEEE
14 years 1 months ago
Speech denoising using nonnegative matrix factorization with priors
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...
Kevin W. Wilson, Bhiksha Raj, Paris Smaragdis, Aja...
MVA
2007
154views Computer Vision» more  MVA 2007»
13 years 9 months ago
Fisher Non-negative Matrix Factorization with Pairwise Weighting
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
Xi Li, Kazuhiro Fukui
CORR
2008
Springer
118views Education» more  CORR 2008»
13 years 7 months ago
Descent methods for Nonnegative Matrix Factorization
In this paper, we present several descent methods that can be applied to nonnegative matrix factorization and we analyze a recently developped fast block coordinate method. We als...
Ngoc-Diep Ho, Paul Van Dooren, Vincent D. Blondel
ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
14 years 1 months ago
The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering
The nonnegative matrix factorization (NMF) has been shown recently to be useful for clustering. Various extensions of NMF have also been proposed. In this paper we present an over...
Tao Li, Chris H. Q. Ding