Divergence based feature selection for multimodal class densities

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 18, Issue 2, 1996, Pages 218-223

  Novovicovâ, Jana ^a   Pudil, Pavel ^a   Kittler, Josef ^a  

^a INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

Author keywords

Em algorithm; Feature ordering; Feature selection; Kullback j divergence; Maximum likelihood; Mixture distribution

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PATTERN RECOGNITION SYSTEMS; PROBABILITY DENSITY FUNCTION; STATISTICAL METHODS;

BAYES DECISION RULE; EXPECTATION MAXIMIZATION ALGORITHM; FEATURE ORDERING; FEATURE SELECTION; KULLBACK J-DIVERGENCE; MAXIMUM LIKELIHOOD; MIXTURE DISTRIBUTION;

FEATURE EXTRACTION;

EID: 0030086778     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.481557     Document Type: Article

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