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2005, Monographs on statistics and applied probability (Series), ISBN 9781584884323, Volume 104, 263
Gaussian Markov Random Field (GMRF) models, most widely used in spatial statistics are presented in this, the first book on the subject that provides a unified... 
Gaussian Markov random fields
Book
2006, ISBN 0521847834, Volume 9780521847834, xv, 184
Disordered magnetic systems enjoy non-trivial properties which are different and richer than those observed in their pure, non-disordered counterparts. These... 
Spin glasses | Random fields
Book
Electronic journal of statistics, ISSN 1935-7524, 01/2019, Volume 13, Issue 2, pp. 3297 - 3335
In this paper, aliasing effects are investigated for random fields defined on the d-dimensional sphere S-d and reconstructed from discrete samples. First, we... 
Statistics & Probability | Physical Sciences | Mathematics | Science & Technology
Journal Article
2018, 1, ISBN 9781138562240, Volume 1, x, 182 pages
The first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with functional analysis). It... 
Invariant subspaces | Random fields | Probability | Stochastic Models & Processes | Probability Theory & Applications | Mathematical Analysis
Book
Stochastic partial differential equations : analysis and computations, ISSN 2194-0401, 3/2018, Volume 6, Issue 1, pp. 1 - 44
Journal Article
1998, ISBN 7030065921, iv, 160
Book
2009, 1. Aufl., ISBN 9780470409336, xi, 393
A timely and comprehensive treatment of random field theory with applications across diverse areas of studyLevel Sets and Extrema of Random Processes and... 
Level set methods | Random fields | Stochastic processes | Gaussian processes | MATHEMATICS | Probability & Statistics | General
Book
Journal Article
1983, xii, 382 pages : iliustrations.
Book
2011, ISBN 0262015773, vii, 463
State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study. 
Computer vision - Mathematics | Computer vision | Image processing | Computer graphics | Markov random fields
Book
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 08/2010, Volume 32, Issue 8, pp. 1392 - 1405
Journal Article
eJournal
Computer vision and image understanding, ISSN 1077-3142, 04/2018, Volume 169, pp. 52 - 61
•We propose a new CRF model with a novel 2D–3D pose consistency prior for 3D human pose estimation.•We propose a simple but powerful 2D-to-3D pose lifting... 
Deep learning | Conditional random fields | Human pose estimation
Journal Article
International journal of computer vision, ISSN 0920-5691, 1/2012, Volume 96, Issue 1, pp. 83 - 102
The Hierarchical Conditional Random Field (HCRF) model have been successfully applied to a number of image labeling problems, including image segmentation.... 
Pattern Recognition | Hierarchical conditional random fields | Computer Science | Computer Imaging, Vision, Pattern Recognition and Graphics | Image Processing and Computer Vision | Artificial Intelligence (incl. Robotics) |