Advances in Markov Random Fields

Markov Random Fields for Vision and Image Processing (repost)  eBooks & eLearning

Posted by libr at Sept. 28, 2017
Markov Random Fields for Vision and Image Processing (repost)

Markov Random Fields for Vision and Image Processing by Andrew Blake, Pushmeet Kohli and Carsten Rother
English | ISBN 10: 0262015773 | 2011 | PDF | 472 pages | 5,3 MB
Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign [Repost]

Jinbo Xu, Sheng Wang, Jianzhu Ma - Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign
Published: 2015-01-29 | ISBN: 331914913X | PDF | 51 pages | 2.63 MB
Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign

Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign By Jinbo Xu, Sheng Wang, Jianzhu Ma
2015 | 60 Pages | ISBN: 331914913X | PDF | 3 MB

Markov Random Fields and Their Applications by Ross Kindermann [Repost]  eBooks & eLearning

Posted by tanas.olesya at Feb. 26, 2015
Markov Random Fields and Their Applications by Ross Kindermann [Repost]

Markov Random Fields and Their Applications by Ross Kindermann
English | June 1980 | ISBN: 0821850016 | 147 Pages | PDF | 6 MB

The study of Markov random fields has brought exciting new problems to probability theory which are being developed in parallel with basic investigation in other disciplines, most notably physics. The mathematical and physical literature is often quite technical. This book aims at a more gentle introduction to these new areas of research.

Gaussian Markov Random Fields: Theory and Applications  eBooks & eLearning

Posted by ChrisRedfield at Nov. 6, 2014
Gaussian Markov Random Fields: Theory and Applications

Havard Rue, Leonhard Held - Gaussian Markov Random Fields: Theory and Applications
Published: 2005-02-18 | ISBN: 1584884320 | PDF + DJVU | 280 pages | 8 MB

Markov Random Fields for Vision and Image Processing (repost)  eBooks & eLearning

Posted by interes at Aug. 11, 2014
Markov Random Fields for Vision and Image Processing (repost)

Markov Random Fields for Vision and Image Processing by Andrew Blake, Pushmeet Kohli and Carsten Rother
English | ISBN 10: 0262015773 | 2011 | PDF | 472 pages | 5,3 MB

This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF both as a tool for modeling image data and, utilizing recently developed algorithms, as a means of making inferences about images.

Markov Random Fields and Their Applications, Volume1 (Repost)  eBooks & eLearning

Posted by step778 at Oct. 8, 2013
Markov Random Fields and Their Applications, Volume1 (Repost)

Ross Kindermann, "Markov Random Fields and Their Applications, Volume1"
1980 | pages: 147 | ISBN: 0821850016 | PDF | 7 mb

Markov Random Fields for Vision and Image Processing  eBooks & eLearning

Posted by avava at Oct. 20, 2011
Markov Random Fields for Vision and Image Processing

Andrew Blake, "Markov Random Fields for Vision and Image Processing"
Publisher: The MIT Press | ISBN 10: 0262015773 | 200 | PDF | 472 pages | 5.3 MB
"Advances in Theory and Applications of Stereo Vision" ed. by Asim Bhatti (Repost)

"Advances in Theory and Applications of Stereo Vision" ed. by Asim Bhatti
ITexLi | 2011 | ISBN: 9533075163 9789533075167 | 362 pages | PDF | 57 MB

The book presents a wide range of innovative research ideas and current trends in stereo vision. The topics covered in this book encapsulate research trends from fundamental theoretical aspects of robust stereo correspondence estimation to the establishment of novel and robust algorithms as well as applications in a wide range of disciplines.
Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition) (Repost)

Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition) By Luis Enrique Sucar
2015 | 267 Pages | ISBN: 1447166981 | PDF | 6 MB