522 search results - page 21 / 105 » Feature selection for ranking using boosted trees |
ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
Co-occurrence histograms of oriented gradients (CoHOG) are powerful descriptors in object detection. In this paper, we propose to utilize a very large pool of CoHOG features with ...
CVPR
2003
IEEE
16 years 1 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
135
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ICML
2000
IEEE
16 years 16 days ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
104
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WACV
2002
IEEE
15 years 4 months ago
2002
IEEE
Automatic detection of image orientation is a very important operation in photo image management. In this paper, we propose an automated method based on the boosting algorithm to ...
115
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ANNPR
2006
Springer
15 years 3 months ago
2006
Springer
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...