145 search results - page 10 / 29 » On Constrained Sparse Matrix Factorization |
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...
103
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NIPS
2008
14 years 11 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
ICA
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
ICDM
2010
IEEE
14 years 7 months ago
2010
IEEE
Consider a typical recommendation problem. A company has historical records of products sold to a large customer base. These records may be compactly represented as a sparse custom...
100
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ICDM
2010
IEEE
14 years 7 months ago
2010
IEEE
Thousands of scientific conferences happen every year, and each involves a laborious scientific peer review process conducted by one or more busy scientists serving as Technical/Sc...