Maximum likelihood estimation of markov random field parameters using markov chain monte carlo algorithms

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

Volumn 1223, Issue , 1997, Pages 133-148

  Descombes, Xavier ^a   Morris, Robin ^a   Zerubia, Jaosiane ^a   Berthod, Marc ^a  

^a INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; COMPUTER VISION; IMAGE SEGMENTATION; MARKOV PROCESSES; MAXIMUM LIKELIHOOD; PARAMETER ESTIMATION; PATTERN RECOGNITION; POTTS MODEL;

COMPUTATION TIME; LONG RANGE INTERACTIONS; MARKOV CHAIN MONTE CARLO ALGORITHMS; MARKOV RANDOM FIELDS; MAXIMUM LIKELIHOOD ESTIMATOR; MRF MODELS; REAL IMAGES; REAL-WORLD IMAGE;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 84958620142     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-62909-2_77     Document Type: Conference Paper

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