A probabilistic representation for efficient large scale visual recognition tasks

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

Volumn , Issue , 2011, Pages 2593-2600

  Bhattacharya, Subhabrata ^a,c   Sukthankar, Rahul ^a   Jin, Rong ^b   Shah, Mubarak ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

^c UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; ITERATIVE METHODS; MAXIMUM LIKELIHOOD ESTIMATION;

BAG-OF-VISUAL WORDS; COMPUTATION INTENSIVES; MAXIMUM LIKELIHOOD ESTIMATE; PROBABILISTIC REPRESENTATION; SCENE CATEGORIZATION; STATE OF THE ART; VISUAL CLASSIFICATION; VISUAL RECOGNITION;

PATTERN RECOGNITION;

EID: 80052876485     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995746     Document Type: Conference Paper

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