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CVPR
2009
IEEE
14 years 12 months ago
Alphabet SOUP: A Framework for Approximate Energy Minimization
Many problems in computer vision can be modeled using conditional Markov random fields (CRF). Since finding the maximum a posteriori (MAP) solution in such models is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...
ICCV
1999
IEEE
14 years 6 months ago
Fast Approximate Energy Minimization via Graph Cuts
In this paper we address the problem of minimizing a large class of energy functions that occur in early vision. The major restriction is that the energy function's smoothnes...
Yuri Boykov, Olga Veksler, Ramin Zabih
RECOMB
2007
Springer
14 years 5 months ago
Minimizing and Learning Energy Functions for Side-Chain Prediction
Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...
Chen Yanover, Ora Schueler-Furman, Yair Weiss
ICCV
2003
IEEE
14 years 6 months ago
Visual Correspondence Using Energy Minimization and Mutual Information
We address visual correspondence problems without assuming that scene points have similar intensities in different views.This situation is common, usually due to non-lambertian sc...
Junhwan Kim, Vladimir Kolmogorov, Ramin Zabih
EMMCVPR
1999
Springer
13 years 9 months ago
A New Algorithm for Energy Minimization with Discontinuities
Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. These tasks can be formulated as energy minimization problems. In this paper, we conside...
Yuri Boykov, Olga Veksler, Ramin Zabih