477 search results - page 19 / 96 » Algorithms for Non-negative Matrix Factorization |
IPMI
2011
Springer
12 years 11 months ago
2011
Springer
This paper proposes a novel method for computing linear basis images from tensor-valued image data. As a generalization of the nonnegative matrix factorization, the proposed method...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
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...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
Nonnegative Matrix Factorization (NMF) approximates a given data matrix as a product of two low rank nonnegative matrices, usually by minimizing the L2 or the KL distance between ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
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...
PR
2008
13 years 7 months ago
2008
We describe Nonnegative Double Singular Value Decomposition (NNDSVD), a new method designed to enhance the initialization stage of nonnegative matrix factorization (NMF). NNDSVD c...