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» Objective reduction using a feature selection technique
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CVPR
2005
IEEE
15 years 3 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ACNS
2005
Springer
85views Cryptology» more  ACNS 2005»
15 years 3 months ago
New Signature Schemes with Coupons and Tight Reduction
Amongst provably secure signature schemes, two distinct classes are of particular interest: the ones with tight reduction (e.g., RSA-PSS), and those which support the use of coupon...
Benoît Chevallier-Mames
ICMI
2005
Springer
121views Biometrics» more  ICMI 2005»
15 years 3 months ago
Gaze-based selection of standard-size menu items
With recent advances in eye tracking technology, eye gaze gradually gains acceptance as a pointing modality. Its relatively low accuracy, however, determines the need to use enlar...
Oleg Spakov, Darius Miniotas
IDA
2002
Springer
14 years 9 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
CVPR
2006
IEEE
15 years 4 months ago
Learning Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects
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...
Ying Shan, Feng Han, Harpreet S. Sawhney, Rakesh K...