Unsupervised feature selection via distributed coding for multi-view object recognition

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

Volumn , Issue , 2008, Pages

  Christoudias, C Mario ^a   Urtasun, Raquel ^a   Darrell, Trevor ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERA SENSORS; CLASS LABELS; COMPUTATIONAL POWER; DISTRIBUTED CODING; DISTRIBUTED OBJECT RECOGNITION; FEATURE SELECTION; FEATURE SELECTION ALGORITHMS; GAUSSIAN PROCESS MODELS; MULTI VIEWS; MULTI-VIEW IMAGES; MULTI-VIEW OBJECT RECOGNITION; MULTIPLE CAMERAS; MULTIPLE VIEWS; RECOGNITION ACCURACY; SHARING INFORMATION; UNSUPERVISED FEATURE SELECTION; VISUAL FEATURES;

ARTIFICIAL INTELLIGENCE; CAMERAS; COMMUNICATION; COMPUTER VISION; DECENTRALIZED CONTROL; ENCODING (SYMBOLS); FEATURE EXTRACTION; IMAGE PROCESSING; INDEXING (OF INFORMATION); PATTERN RECOGNITION; PROGRAMMING THEORY;

OBJECT RECOGNITION;

EID: 51949084977     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587615     Document Type: Conference Paper

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