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» Bayesian inference in estimation of distribution algorithms
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IJAR
2008
118views more  IJAR 2008»
13 years 7 months ago
Dynamic multiagent probabilistic inference
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...
Xiangdong An, Yang Xiang, Nick Cercone
ICPR
2004
IEEE
14 years 9 months ago
A Variational Approach for Color Image Segmentation
In this paper we use a variational Bayesian framework for color image segmentation. Each image is represented in the L*u*v color coordinate system before being segmented by the va...
Nikolaos Nasios, Adrian G. Bors
ATAL
2003
Springer
13 years 11 months ago
Analyzing the efficiency of strategies for MAS-based sensor interpretation and diagnosis
One of the factors holding back the application of multiagent, distributed approaches to large-scale sensor interpretation and diagnosis problems is the lack of good techniques fo...
Norman Carver, Ruj Akavipat
SIAMSC
2011
219views more  SIAMSC 2011»
13 years 2 months ago
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
AAAI
2012
11 years 10 months ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti