2712 search results - page 293 / 543 » On learning algorithm selection for classification |
188
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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...
183
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EDUTAINMENT
2007
Springer
16 years 24 days ago
2007
Springer
Due to the high-dimensionality of motion captured data which resulted in the complexity in motion analysis, a method of motion data processing based on manifold learning was propos...
204
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BMCBI
2006
15 years 6 months ago
2006
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
197
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TCBB
2010
15 years 5 months ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
187
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MM
2005
ACM
16 years 6 days ago
2005
ACM
The authors developed an extensible system for video exploitation that puts the user in control to better accommodate novel situations and source material. Visually dense displays...