Bayesian approach to mixture models for discrimination

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1876 LNCS, Issue , 2000, Pages 491-500

  Copsey, Keith ^a   Webb, Andrew ^a  

^a DEFENCE SCIENCE AND TECHNOLOGY LABORATORY   (United Kingdom)

Author keywords

Bayesian inference; Discrimination; Inverse synthetic aperture radar; Markov chain Monte Carlo; Mixture models; Target recognition

Indexed keywords

BAYESIAN NETWORKS; CLASSIFICATION (OF INFORMATION); INFERENCE ENGINES; INVERSE PROBLEMS; INVERSE SYNTHETIC APERTURE RADAR; MARKOV PROCESSES; MIXTURES; MONTE CARLO METHODS; PATTERN RECOGNITION; CHAINS; RADAR; RADAR TARGET RECOGNITION; SYNTHETIC APERTURE RADAR;

BAYESIAN INFERENCE; DISCRIMINATION; MARKOV CHAIN MONTE-CARLO; MIXTURE MODEL; TARGET RECOGNITION; BAYESIAN MIXTURE MODEL; MARKOV CHAIN MONTE CARLO ALGORITHMS; MIXTURE DISTRIBUTIONS; POSTERIOR DISTRIBUTIONS;

RADAR TARGET RECOGNITION; INVERSE SYNTHETIC APERTURE RADAR;

EID: 23044522163     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44522-6_51     Document Type: Conference Paper

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