5603 search results - page 100 / 1121 » Feature Selection for Clustering |
132
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JMLR
2010
14 years 11 months ago
2010
We propose a novel group regularization which we call exclusive lasso. Unlike the group lasso regularizer that assumes covarying variables in groups, the proposed exclusive lasso ...
147
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
Object recognition accuracy can be improved when information from multiple views is integrated, but information in each view can often be highly redundant. We consider the problem...
100
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ICIP
2005
IEEE
16 years 6 months ago
2005
IEEE
In this paper we discuss a general framework for feature selection based on nonparametric statistics. The three stage approach we propose is based on the assumption that the avail...
156
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KBS
2008
15 years 2 months ago
2008
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
188
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AAAI
2011
14 years 4 months ago
2011
In this paper, we propose a novel method to select the most informative subset of features, which has little redundancy and very strong discriminating power. Our proposed approach...