4 search results - page 1 / 1 » Low-Dimensional Polytope Approximation and Its Applications ... |
SIAMSC
2008
13 years 4 months ago
2008
In this study, nonnegative matrix factorization is recast as the problem of approximating a polytope on the probability simplex by another polytope with fewer facets. Working on th...
IPMI
2011
Springer
12 years 8 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...
CVPR
2009
IEEE
13 years 8 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 ...
TNN
2008
13 years 4 months ago
2008
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...