Mining compositional features for boosting

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

Volumn , Issue , 2008, Pages

  Yuan, Junsong ^a   Luo, Jiebo ^b   Wu, Ying ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

^b EASTMAN KODAK COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ARTIFICIAL INTELLIGENCE; CLASSIFIERS; COMPUTER VISION; DATA MINING; DECISION SUPPORT SYSTEMS; FEATURE EXTRACTION; IMAGE PROCESSING; INFORMATION MANAGEMENT; LEARNING SYSTEMS; MINING; PATTERN RECOGNITION; REAL TIME SYSTEMS; SEARCH ENGINES;

ADABOOST; COMPOSITIONAL FEATURES; DATA MINING METHODS; DECISION STUMPS; DISCRIMINATIVE ABILITY; EVENT RECOGNITION; FREQUENT ITEMSET MINING; MULTI-CLASS CLASSIFICATION; TRAINING ERRORS; WEAK CLASSIFIERS;

CLASSIFICATION (OF INFORMATION);

EID: 51949105360     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587347     Document Type: Conference Paper

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