6113 search results - page 250 / 1223 » Learning Features for Tracking |
179
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FGR
2000
IEEE
15 years 11 months ago
2000
IEEE
Most automatic expression analysis systems attempt to recognize a small set of prototypic expressions (e.g. happiness and anger). Such prototypic expressions, however, occur infre...
205
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MLDM
2007
Springer
16 years 20 days ago
2007
Springer
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
202
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SDM
2007
SIAM
15 years 8 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
160
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KAIS
2007
15 years 6 months ago
2007
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
165
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CVPR
2004
IEEE
16 years 8 months ago
2004
IEEE
We treat feature selection and basis selection in a unified framework by introducing the masking matrix. If one considers feature selection as finding a binary mask vector that de...