Taylor expansion based classifier adaptation: Application to person detection

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

Volumn , Issue , 2008, Pages

  Zhang, Cha ^a   Hamid, Raffay ^b   Zhang, Zhengyou ^a  

^a MICROSOFT RESEARCH   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTER VISION; FEATURE EXTRACTION; FOOD PROCESSING; IMAGE PROCESSING; LABELING; LABELS; MATERIALS HANDLING; PATTERN RECOGNITION; TESTING;

AMOUNT OF INFORMATION; APPLICATION-TO-PERSON; CLASSIFIER LEARNING; COST MINIMIZATION; DATA SETS; EXTENSIVE DATA; GENERAL FRAMEWORK; GENERIC CLASSIFIER; LOGISTIC REGRESSION; PERFORMANCE IMPROVEMENTS; PERSON DETECTION; SECOND-ORDER TAYLOR EXPANSION; TAYLOR EXPANSIONS; TEST ENVIRONMENT; TWO TYPES; USER LABELS;

LEARNING SYSTEMS;

EID: 51949113483     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587801     Document Type: Conference Paper

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