Learning similarity for semantic images classification

Neurocomputing

Volumn 67, Issue 1-4 SUPPL., 2005, Pages 363-368

  Wang, Dianhui ^a,b   Shik Lim, Joon ^b   Han, Myung Mook ^b   Lee, Byung Wook ^b  

^a LA TROBE UNIVERSITY   (Australia)

^b Gachon University College of Medicine   (South Korea)

Author keywords

Image classification; k NN rule; Learning similarity; Neural networks; Robustness

Indexed keywords

BACKPROPAGATION; COMPUTER VISION; LEARNING SYSTEMS; NEURAL NETWORKS; SEMANTICS;

BACK-PROPAGATION NETWORK CLASSIFIERS; LEARNING SIMILARITY (LS); SEMANTIC IMAGE CLASSIFICATION; VISUAL FEATURES;

IMAGE PROCESSING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER MODEL; DATA BASE; EXPERIMENTATION; IMAGE PROCESSING; INFORMATION PROCESSING; LEARNING; MATHEMATICAL COMPUTING; NERVE CELL NETWORK; PATTERN RECOGNITION; PRIORITY JOURNAL; RELIABILITY; SEMANTICS; STATISTICAL ANALYSIS;

EID: 21744434574     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.10.114     Document Type: Article

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