Bayesian inference for layer representation with mixed markov random field

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

Volumn 4679 LNCS, Issue , 2007, Pages 213-224

  Gao, Ru Xin ^a,b   Wu, Tian Fu ^b   Zhu, Song Chun ^b,c   Sang, Nong ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Lotus Hill Research Institute   (China)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

2.1D sketch; Bayesian inference; Contour completion; Layer representation; MCMC; Mixed markov field; Swendsen Wang cut

Indexed keywords

BAYESIAN NETWORKS; IMAGE SEGMENTATION; INFERENCE ENGINES; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES;

BAYESIAN INFERENCE; CONTOUR COMPLETION; LAYER REPRESENTATION; MIXED MARKOV FIELDS; SWENDSEN-WANG CUT;

LEARNING ALGORITHMS;

EID: 38349072242     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74198-5_17     Document Type: Conference Paper

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