Classification using intersection kernel support vector machines is efficient

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

Volumn , Issue , 2008, Pages

  Maji, Subhransu ^a   Berg, Alexander C ^b   Maliks, Jitendra ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b YAHOO RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACIES; HISTOGRAM INTERSECTION; PRECOMPUTING; RUN-TIME; RUN-TIME COMPLEXITY; SPACE REQUIREMENTS; SUPPORT VECTORS;

ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTER VISION; FEATURE EXTRACTION; IMAGE PROCESSING; INTERSECTIONS; LEARNING SYSTEMS; PATTERN RECOGNITION; STANDARDIZATION; STANDARDS; SUPPORT VECTOR MACHINES;

VECTORS;

EID: 51949098112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587630     Document Type: Conference Paper

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