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ICIP
2010
IEEE
13 years 5 months ago
Disparity and normal estimation through alternating maximization
In this paper, we propose an algorithm that recovers binocular disparities in accordance with the surface properties of the scene under consideration. To do so, we estimate the di...
Ramya Narasimha, Elise Arnaud, Florence Forbes, Ra...
ICCV
2009
IEEE
15 years 23 days ago
A Global Perspective on MAP Inference for Low-Level Vision
In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...
UAI
1997
13 years 9 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
CP
1997
Springer
13 years 12 months ago
Distributed Partial Constraint Satisfaction Problem
Many problems in multi-agent systems can be described as distributed Constraint Satisfaction Problems (distributed CSPs), where the goal is to nd a set of assignments to variables ...
Katsutoshi Hirayama, Makoto Yokoo
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 11 months ago
Selecting for evolvable representations
Evolutionary algorithms tend to produce solutions that are not evolvable: Although current fitness may be high, further search is impeded as the effects of mutation and crossover ...
Joseph Reisinger, Risto Miikkulainen