Scene classification with low-dimensional semantic spaces and weak supervision

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

Volumn , Issue , 2008, Pages

  Rasiwasia, Nikhil ^a   Vasconcelos, Nuno ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; CLASSIFICATION (OF INFORMATION); COMPUTER VISION; FEATURE EXTRACTION; FOOD PROCESSING; IMAGE ANALYSIS; IMAGE PROCESSING; INFORMATION THEORY; PATTERN RECOGNITION; PROBABILITY; TITANIUM CARBIDE;

BENCHMARK DATASETS; CLASSIFICATION PERFORMANCE; IMAGE REPRESENTATIONS; LOW DIMENSIONAL; LOW-DIMENSIONAL REPRESENTATION; LOW-LEVEL FEATURES; PROBABILITY DENSITIES; SCENE CLASSIFICATION; SCENE UNDERSTANDING; SEMANTIC SPACES; STATE-OF-THE-ART METHODS; TRAINING COMPLEXITY;

STATE SPACE METHODS;

EID: 51949095824     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587372     Document Type: Conference Paper

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