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[null,"1.","Record Nr.",null,"UNINA9910456890503321"]
[null,null,"Titolo",null,"Markov random fields for vision and image processing [[electronic resource] /] / edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge, Mass., : MIT Press, c2011"]
[null,null,"ISBN",null,"1-283-25865-X"]
[{"$nulls":4},"9786613258656"]
[{"$nulls":4},"0-262-29835-X"]
[null,null,"Descrizione fisica",null,"1 online resource (472 p.)"]
[null,null,"Disciplina",null,"006.3/70151"]
[null,null,"Soggetti",null,"Image processing - Mathematics"]
[{"$nulls":4},"Computer graphics - Mathematics"]
[{"$nulls":4},"Computer vision - Mathematics"]
[{"$nulls":4},"Markov random fields"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Cover ; Contents; 1 Introduction to Markov Random Fields; I Algorithms for Inference of MAP Estimates for MRFs; 2 Basic Graph Cut Algorithms; 3 Optimizing Multilabel MRFs Using Move-Making Algorithms; 4 Optimizing Multilabel MRFs with Convex and Truncated Convex Priors; 5 Loopy Belief Propagation, Mean Field Theory, and Bethe Approximations; 6 Linear Programming and Variants of Belief Propagation; II Applications of MRFs, including Segmentation; 7 Interactive Foreground Extraction; 8 Continuous-Valued MRF for Image Segmentation; 9 Bilayer Segmentation of Video"]
[{"$nulls":4},"10 MRFs for Superresolution and Texture Synthesis11 A Comparative Study of Energy Minimization Methods for MRFs; III Further Topics: Inference, Parameter Learning, and Continuous Models; 12 Convex Relaxation Techniques for Segmentation, Stereo, and Multiview Reconstruction; 13 Learning Parameters in Continuous-Valued Markov Random Fields; 14 Message Passing with Continuous Latent Variables; 15 Learning Large-Margin Random Fields Using Graph Cuts; 16 Analyzing Convex Relaxations for MAP Estimation; 17 MAP Inference by Fast Primal-Dual Linear Programming"]
[{"$nulls":4},"18 Fusion-Move Optimization for MRFs with an Extensive Label SpaceIV "]
[{"$nulls":4},"Higher-Order MRFs and Global Constraints; 19 Field of Experts; 20 Enforcing Label Consistency Using Higher-Order Potentials; 21 Exact Optimization for Markov Random Fields with Nonlocal Parameters; 22 Graph Cut-Based Image Segmentation with Connectivity Priors; V Advanced Applications of MRFs; 23 Symmetric Stereo Matching for Occlusion Handling; 24 Steerable Random Fields for Image Restoration; 25 Markov Random Fields for Object Detection; 26 SIFT Flow; 27 Unwrap Mosaics; Bibliography; Contributors; Index"]
[null,null,null,"Sommario/riassunto","State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study."]