Robust and efficient regularized boosting using total bregman divergence

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2011, Pages 2897-2902

  Liu, Meizhu ^a   Vemuri, Baba C ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGY; COMPUTER VISION; EVOLUTIONARY ALGORITHMS; IMAGE ENHANCEMENT; LEARNING SYSTEMS; MEDICAL IMAGING; NUMERICAL METHODS;

BOOSTING ALGORITHM; COMPUTATIONAL BIOLOGY; MACHINE LEARNING TECHNIQUES; NUMBER OF ITERATIONS; NUMERICAL RESULTS; STATE-OF-THE-ART METHODS; STRONG CLASSIFIERS; TOTAL BREGMAN DIVERGENCES;

ADAPTIVE BOOSTING;

EID: 80052884524     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995686     Document Type: Conference Paper

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