159 search results - page 22 / 32 » Sparse non-Gaussian component analysis |
127
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ICMCS
2005
IEEE
15 years 8 months ago
2005
IEEE
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
139
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ECCV
2008
Springer
15 years 3 months ago
2008
Springer
—This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing...
172
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BMCBI
2011
14 years 9 months ago
2011
Background: Genes work coordinately as gene modules or gene networks. Various computational approaches have been proposed to find gene modules based on gene expression data; for e...
128
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CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
A fast algorithm, Accelerated Kernel Feature Analysis (AKFA), that discovers salient features evidenced in a sample of n unclassified patterns, is presented. Like earlier kernel-b...
124
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NIPS
2007
15 years 4 months ago
2007
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...