Scalable classifiers for Internet vision tasks

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops

Volumn , Issue , 2008, Pages

  Yeh, Tom ^a   Lee, John J ^a   Darrell, Trevor ^b  

^a USA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; CLASSIFIERS; COMPUTATIONAL COMPLEXITY; COMPUTER VISION; FEATURE EXTRACTION; IMAGE PROCESSING; INFORMATION SERVICES; INTERNET; LABELING; LABELS; LEARNING SYSTEMS; OBJECT RECOGNITION; PATTERN RECOGNITION; SPEED; SUPPORT VECTOR MACHINES; TREES (MATHEMATICS);

CLASS LABELS; EMPIRICAL RESULTS; IMAGE FEATURES; INPUT IMAGES; INTERNET APPLICATIONS; INTERNET VISION; K-NEAREST NEIGHBORS; MULTI CLASS; NEAREST NEIGHBORS; OBJECT RECOGNITION SYSTEMS; RECOGNITION ACCURACY; SCALE-UP; SPEED INCREASING; SVM CLASSIFIERS; TEST TIME; VERY LARGE DATA;

CLASSIFICATION (OF INFORMATION);

ADAPTATION; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; COMPUTATION; DATA PROCESSING; DESIGN; INTERNET; LABELING; PARAMETERS;

EID: 51849153241     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2008.4562958     Document Type: Conference Paper

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