A criterion for optimizing kernel parameters in KBDA for image retrieval

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 35, Issue 3, 2005, Pages 556-562

  Wang, Lei ^a   Chan, Kap Luk ^a   Xue, Ping ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Content based image retrieval; Kernel parameter optimization; Kernel based biased discriminant analysis; Relevance feedback

Indexed keywords

COMPUTATIONAL COMPLEXITY; CONTENT BASED RETRIEVAL; DATABASE SYSTEMS; FEATURE EXTRACTION; LEARNING SYSTEMS; OPTIMIZATION;

KERNEL BASED BIASED DISCRIMINANT ANALYSIS; KERNEL PARAMETER OPTIMIZATION; RELEVANCE FEEDBACK;

IMAGE RETRIEVAL;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; DISCRIMINANT ANALYSIS; EVALUATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; LETTER; MATHEMATICAL COMPUTING; METHODOLOGY; SIGNAL PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER GRAPHICS; DISCRIMINANT ANALYSIS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 20444391625     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2005.846660     Document Type: Article

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