Unifying discriminative visual codebook generation with classifier training for object category recognition

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

Volumn , Issue , 2008, Pages

  Yang, Liu ^a   Jin, Rong ^a   Sukthankar, Rahul ^b,c   Jurie, Frederic ^d  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b INTEL CORPORATION   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

^d LEAR Group CNRS INRIA

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIER TRAINING; CODE-BOOKS; CODEBOOK GENERATION; IMAGE FEATURES; OBJECT CATEGORY; OPTIMIZATION FRAMEWORK; TRAINING DATA; TWO PHASES; UNSUPERVISED CLUSTERING;

ARTIFICIAL INTELLIGENCE; CLASSIFIERS; CLUSTER ANALYSIS; COMPUTER VISION; FEATURE EXTRACTION; FLOW OF SOLIDS; IMAGE PROCESSING; LEARNING SYSTEMS; OBJECT RECOGNITION; OPTIMIZATION; PATTERN RECOGNITION; STANDARDS;

CLASSIFICATION (OF INFORMATION);

EID: 51949103737     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587504     Document Type: Conference Paper

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