Sharing features: Efficient boosting procedures for multiclass object detection

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2, Issue , 2004, Pages

  Torralba, Antonio ^a   Murphy, Kevin P ^a   Freeman, William T ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE MODELS; IMAGE CLASSIFICATION; INPUT FEATURES; SUPPORT VECTOR MACHINES (SVM);

ALGORITHMS; APPROXIMATION THEORY; COMPUTER VISION; FUNCTIONS; IMAGE ANALYSIS; REGRESSION ANALYSIS; VECTORS;

OBJECT RECOGNITION;

EID: 5044224293     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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