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» Markov Random Field Modeling in Computer Vision
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EMMCVPR
2011
Springer
12 years 8 months ago
Curvature Regularity for Multi-label Problems - Standard and Customized Linear Programming
Abstract. We follow recent work by Schoenemann et al. [25] for expressing curvature regularity as a linear program. While the original formulation focused on binary segmentation, w...
Thomas Schoenemann, Yubin Kuang, Fredrik Kahl
ICEIS
1999
IEEE
14 years 1 months ago
Contour Estimation on Piecewise Homogeneous Random Fields
: Contour Estimation, Bayesian Estimation, Random Fields, Dynamic Programming, Multigrid Methods. This paper addresses contour estimation on images modeled as piecewise homogeneous...
José A. Moinhos Cordeiro, José M. B....
ICIP
2010
IEEE
13 years 7 months ago
3D augmented Markov random field for object recognition
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...
Wei Yu, Ahmed Bilal Ashraf, Yao-Jen Chang, Congcon...
ICIP
1998
IEEE
14 years 10 months ago
Reducing the Computational Complexity of a Map Post-Processing Algorithm for Video Sequences
Maximum a posteriori (MAP) filtering using the HuberMarkov random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts i...
Mark A. Robertson, Robert L. Stevenson
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 9 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori