Discovering class specific composite features through discriminative sampling with swendsen-wang cut

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Han, Feng ^a   Shan, Ying ^b   Sawhney, Harpreet S ^a   Kumar, Rakesh ^a  

^a SARNOFF CORPORATION   (United States)

^b MICROSOFT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; CLASSIFICATION (OF INFORMATION); COMPUTER VISION; FEATURE EXTRACTION; IMAGE SEGMENTATION; PATTERN RECOGNITION;

ADABOOST; CLASS SPECIFIC FEATURES; CLASSIFIER COMBINING; COMPLEX OBJECTS; COMPOSITE FEATURES; DESIGN FEATURES; DETECTION ALGORITHMS; FEATURE SELECTION; NOVEL ALGORITHMS;

IMAGE PROCESSING;

EID: 51949111395     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587376     Document Type: Conference Paper

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