Efficient Belief Propagation with Learned Higher-Order Markov Random Fields

Keywords

Belief propagationComputer sciencePairwise comparisonMarkov random fieldGraphical modelRandom fieldInferenceApproximate inferenceMarkov chainArtificial intelligenceTheoretical computer scienceAlgorithmMachine learningImage (mathematics)MathematicsImage segmentation

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Publication Info

Year: 2006
Type: book-chapter
Pages: 269-282
Citations: 201
Access: Closed

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APA Style

                            
                                    Xiangyang Lan, 
                                
                                    Stefan Roth, 
                                
                                    Daniel P. Huttenlocher
                                
                                et al.
                            
                            (2006). 
                            Efficient Belief Propagation with Learned Higher-Order Markov Random Fields. 
                            Lecture notes in computer science
                            
                            , 269-282.
                            https://doi.org/10.1007/11744047_21

Identifiers

DOI: 10.1007/11744047_21