171 search results - page 9 / 35 » Convex Sparse Matrix Factorizations |
PR
2008
14 years 9 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...
ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
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CIKM
2010
Springer
14 years 8 months ago
2010
Springer
Matrix factorization methods are among the most common techniques for detecting latent components in data. Popular examples include the Singular Value Decomposition or Nonnegative...
107
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Kernel nonnegative matrix factorization (KNMF) is a recent kernel extension of NMF, where matrix factorization is carried out in a reproducing kernel Hilbert space (RKHS) with a f...
ALGORITHMICA
1999
14 years 9 months ago
1999
We describe a coarse-grain parallel software system for the homogeneous solution of linear systems. Our solutions are symbolic, i.e., exact rather than numerical approximations. O...