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IJAR
2008
167views more  IJAR 2008»
14 years 9 months ago
Approximate algorithms for credal networks with binary variables
This paper presents a family of algorithms for approximate inference in credal networks (that is, models based on directed acyclic graphs and set-valued probabilities) that contai...
Jaime Shinsuke Ide, Fabio Gagliardi Cozman
IVC
2006
171views more  IVC 2006»
14 years 9 months ago
Motion detection and tracking using belief indicators for an automatic visual-surveillance system
A motion detection and tracking algorithm for human and car activity surveillance is presented and evaluated by using the Pets'2000 test sequence. Proposed approach uses a te...
Cina Motamed
AI
2008
Springer
15 years 4 months ago
A Belief-Theoretic Reputation Estimation Model for Multi-context Communities
Online communities have grown to be an alternative form of communication for many people. This widespread growth and influence of the members of these communities in shaping the d...
Ebrahim Bagheri, M. Barouni-Ebrahimi, Reza Zafaran...
CVPR
2005
IEEE
15 years 11 months ago
Estimating Disparity and Occlusions in Stereo Video Sequences
We propose an algorithm for estimating disparity and occlusion in stereo video sequences. The algorithm defines a prior on sequences of disparity maps using a 3D Markov random fie...
Oliver M. C. Williams, Michael Isard, John MacCorm...
UAI
2003
14 years 11 months ago
Approximate Inference and Constrained Optimization
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
Tom Heskes, Kees Albers, Bert Kappen