The Resource Markov random fields for vision and image processing, edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother
Markov random fields for vision and image processing, edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother
Resource Information
The item Markov random fields for vision and image processing, edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Markov random fields for vision and image processing, edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.
This item is available to borrow from 1 library branch.
- Summary
- State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study
- Language
- eng
- Extent
- 1 online resource (vii, 463 pages)
- Contents
-
- Vladimir Kolmogorov
- 3.
- Optimizing Multilabel MRFs Using Move-Making Algorithms
- Ramin Zabih
- 4.
- Optimizing Multilabel MRFs with Convex and Truncated Convex Priors
- Olga Veksler
- 5.
- Loopy Belief Propagation, Mean Field Theory, and Bethe Approxlmations
- Alan Yuille
- Machine generated contents note:
- 6.
- Linear Programming and Variants of Belief Propagation
- Talya Meltzer
- II.
- Applications of MRFs, Including Segmentation
- 7.
- Interactive Foreground Extraction: Using Graph Cut
- Andrew Blake
- 8.
- Continuous-Valued MRF for Image Segmentation
- 1.
- Rene Vidal
- 9.
- Bilayer Segmentation of Video
- Vladimir Kolmogorov
- 10.
- MRFs for Superresolution and Texture Synthesis
- Ce Liu
- 11.
- Comparative Study of Energy Minimization Methods for MRFs
- Introduction to Markov Random Fields
- Pushmeet Kohli
- I.
- Algorithms for Inference of MAP Estimates for MRFs
- 2.
- Basic Graph Cut Algorithms
- Isbn
- 9781283258654
- Label
- Markov random fields for vision and image processing
- Title
- Markov random fields for vision and image processing
- Statement of responsibility
- edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother
- Subject
-
- NEUROSCIENCE/Visual Neuroscience
- COMPUTER SCIENCE/General
- COMPUTERS -- Computer Vision & Pattern Recognition
- Computer graphics -- Mathematics
- Computer graphics -- Mathematics
- Computer vision -- Mathematics
- Electronic book
- Electronic books
- Electronic books
- Image processing -- Mathematics
- Image processing -- Mathematics
- Markov random fields
- Markov random fields
- Language
- eng
- Summary
- State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study
- Cataloging source
- N$T
- Dewey number
- 006.3/70151
- Illustrations
- illustrations
- Index
- index present
- LC call number
- TA1637
- LC item number
- .M337 2011eb
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorDate
- 1956-
- http://library.link/vocab/relatedWorkOrContributorName
-
- Blake, Andrew
- Kohli, Pushmeet
- Rother, Carsten
- http://library.link/vocab/subjectName
-
- Image processing
- Computer graphics
- Computer vision
- Markov random fields
- COMPUTERS
- Computer graphics
- Image processing
- Markov random fields
- Label
- Markov random fields for vision and image processing, edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Vladimir Kolmogorov
- 3.
- Optimizing Multilabel MRFs Using Move-Making Algorithms
- Ramin Zabih
- 4.
- Optimizing Multilabel MRFs with Convex and Truncated Convex Priors
- Olga Veksler
- 5.
- Loopy Belief Propagation, Mean Field Theory, and Bethe Approxlmations
- Alan Yuille
- Machine generated contents note:
- 6.
- Linear Programming and Variants of Belief Propagation
- Talya Meltzer
- II.
- Applications of MRFs, Including Segmentation
- 7.
- Interactive Foreground Extraction: Using Graph Cut
- Andrew Blake
- 8.
- Continuous-Valued MRF for Image Segmentation
- 1.
- Rene Vidal
- 9.
- Bilayer Segmentation of Video
- Vladimir Kolmogorov
- 10.
- MRFs for Superresolution and Texture Synthesis
- Ce Liu
- 11.
- Comparative Study of Energy Minimization Methods for MRFs
- Introduction to Markov Random Fields
- Pushmeet Kohli
- I.
- Algorithms for Inference of MAP Estimates for MRFs
- 2.
- Basic Graph Cut Algorithms
- Control code
- 750172643
- Dimensions
- unknown
- Extent
- 1 online resource (vii, 463 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781283258654
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 3634472
- Other physical details
- illustrations
- http://library.link/vocab/ext/overdrive/overdriveId
-
- 8579
- 9780262298353
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)750172643
- Label
- Markov random fields for vision and image processing, edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Vladimir Kolmogorov
- 3.
- Optimizing Multilabel MRFs Using Move-Making Algorithms
- Ramin Zabih
- 4.
- Optimizing Multilabel MRFs with Convex and Truncated Convex Priors
- Olga Veksler
- 5.
- Loopy Belief Propagation, Mean Field Theory, and Bethe Approxlmations
- Alan Yuille
- Machine generated contents note:
- 6.
- Linear Programming and Variants of Belief Propagation
- Talya Meltzer
- II.
- Applications of MRFs, Including Segmentation
- 7.
- Interactive Foreground Extraction: Using Graph Cut
- Andrew Blake
- 8.
- Continuous-Valued MRF for Image Segmentation
- 1.
- Rene Vidal
- 9.
- Bilayer Segmentation of Video
- Vladimir Kolmogorov
- 10.
- MRFs for Superresolution and Texture Synthesis
- Ce Liu
- 11.
- Comparative Study of Energy Minimization Methods for MRFs
- Introduction to Markov Random Fields
- Pushmeet Kohli
- I.
- Algorithms for Inference of MAP Estimates for MRFs
- 2.
- Basic Graph Cut Algorithms
- Control code
- 750172643
- Dimensions
- unknown
- Extent
- 1 online resource (vii, 463 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781283258654
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 3634472
- Other physical details
- illustrations
- http://library.link/vocab/ext/overdrive/overdriveId
-
- 8579
- 9780262298353
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)750172643
Subject
- NEUROSCIENCE/Visual Neuroscience
- COMPUTER SCIENCE/General
- COMPUTERS -- Computer Vision & Pattern Recognition
- Computer graphics -- Mathematics
- Computer graphics -- Mathematics
- Computer vision -- Mathematics
- Electronic book
- Electronic books
- Electronic books
- Image processing -- Mathematics
- Image processing -- Mathematics
- Markov random fields
- Markov random fields
Genre
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.umsl.edu/portal/Markov-random-fields-for-vision-and-image/TjFJY2T1ZOk/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.umsl.edu/portal/Markov-random-fields-for-vision-and-image/TjFJY2T1ZOk/">Markov random fields for vision and image processing, edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.umsl.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.umsl.edu/">University of Missouri-St. Louis Libraries</a></span></span></span></span></div>
