Probabilistic neural networks supporting multi-class relevance feedback in region-based image retrieval

Proceedings - International Conference on Pattern Recognition

Volumn 16, Issue 4, 2002, Pages 138-141

  Ko, ByoungChul ^a   Byun, Hyeran ^a  

^a Yonsei University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CORRELATION METHODS; FEATURE EXTRACTION; FEEDBACK; HEURISTIC METHODS; IMAGE RETRIEVAL; ITERATIVE METHODS; NEURAL NETWORKS; PATTERN RECOGNITION;

FEATURE VECTORS; FEEDBACK ALGORITHMS; PROBABILISTIC NEURAL NETWORKS (PNN); RELEVANCE FEEDBACK APPROACH;

NEURAL NETWORKS; IMAGE RETRIEVAL;

CLASSIFICATION PROCESS; FINDING REGION IN THE PICTURES; IMAGE RETRIEVAL TECHNIQUES; IMPROVE PERFORMANCE; MULTI-CLASS LEARNING; PROBABILISTIC NEURAL NETWORKS; REGION-BASED IMAGE RETRIEVAL; RETRIEVAL PERFORMANCE;

EID: 33845204865     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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