6113 search results - page 354 / 1223 » Learning Features for Tracking |
195
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JMLR
2010
15 years 1 months ago
2010
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
201
Voted
CVPR
2004
IEEE
16 years 8 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
179
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KDD
2003
ACM
16 years 7 months ago
2003
ACM
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
141
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CVPR
2006
IEEE
16 years 22 days ago
2006
IEEE
We show that the discrimination between visually similar classes often depends on the detection of socalled ‘satellite features’. These are local features which are not inform...
208
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JBI
2007
15 years 6 months ago
2007
In medical image analysis, the image content is often represented by computed features that need to be interpreted at a clinical level of understanding to support lopment of clini...