5138 search results - page 167 / 1028 » Low-Entropy Set Selection. |
204
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JMLR
2006
15 years 6 months ago
2006
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
169
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WEBI
2009
Springer
16 years 1 months ago
2009
Springer
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
170
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CIBCB
2006
IEEE
15 years 10 months ago
2006
IEEE
Abstract-- The DNA microarray technology, originally developed to measure the level of gene expression, had become one of the most widely used tools in genomic study. Microarrays h...
182
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
197
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ICIP
2003
IEEE
16 years 8 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...