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ICASSP
2011
IEEE
12 years 8 months ago
Regularized split gradient method for nonnegative matrix factorization
This article deals with a regularized version of the split gradient method (SGM), leading to multiplicative algorithms. The proposed algorithm is available for the optimization of...
Henri Lantéri, Céline Theys, C&eacut...
BIOID
2008
135views Biometrics» more  BIOID 2008»
13 years 6 months ago
Discriminant Non-negative Matrix Factorization and Projected Gradients for Frontal Face Verification
A novel Discriminant Non-negative Matrix Factorization (DNMF) method that uses projected gradients, is presented in this paper. The proposed algorithm guarantees the algorithm'...
Irene Kotsia, Stefanos Zafeiriou, Ioannis Pitas
IPM
2006
151views more  IPM 2006»
13 years 4 months ago
Document clustering using nonnegative matrix factorization
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
ICASSP
2011
IEEE
12 years 8 months ago
Computing the nonnegative 3-way tensor factorization using Tikhonov regularization
This paper deals with the minimum polyadic decomposition of a nonnegative three-way array. The main advantage of the nonnegativity constraint is that the approximation problem bec...
Jean-Philip Royer, Pierre Comon, Nadège Thi...
AAAI
2010
13 years 6 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