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143
Voted
CVPR
2001
IEEE
16 years 2 months ago
2001
IEEE
We present a two-step method to speed-up object detection systems in computer vision that use Support Vector Machines (SVMs) as classifiers. In a first step we perform feature red...
101
Voted
JMLR
2008
15 years 23 days ago
2008
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
100
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ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We consider the problem of choosing a linear classifier that minimizes misclassification probabilities in two-class classification, which is a bi-criterion problem, involving a tr...
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We present a novel ensemble pruning method based on reordering the classifiers obtained from bagging and then selecting a subset for aggregation. Ordering the classifiers generate...
110
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...