522 search results - page 38 / 105 » Feature selection for ranking using boosted trees |
130
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APBC
2004
15 years 1 months ago
2004
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
PAA
2007
14 years 11 months ago
2007
Feature selection methods are often used to determine a small set of informative features that guarantee good classification results. Such procedures usually consist of two compon...
116
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ECCV
2004
Springer
16 years 1 months ago
2004
Springer
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
126
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IBPRIA
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the presen...
CVPR
2006
IEEE
15 years 5 months ago
2006
IEEE
This paper proposes a novel approach for multi-view multi-pose object detection using discriminative shapebased exemplars. The key idea underlying this method is motivated by nume...