512 search results - page 79 / 103 » On Evolutionary Optimization of Large Problems Using Small P... |
100
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JMLR
2010
14 years 10 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
116
Voted
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
137
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CVPR
2007
IEEE
15 years 17 days ago
2007
IEEE
Considerable research work has been done in the area of surveillance and biometrics, where the goals have always been high performance, robustness in security and cost optimizatio...
184
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ICDE
2001
IEEE
16 years 1 months ago
2001
IEEE
We describe efficient algorithms for accurately estimating the number of matches of a small node-labeled tree, i.e., a twig, in a large node-labeled tree, using a summary data str...
128
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ICCAD
1997
IEEE
15 years 4 months ago
1997
IEEE
The relentless push for high performance in custom digital circuits has led to renewed emphasis on circuit optimization or tuning. The parameters of the optimization are typically...