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» Markov Random Field Modeling in Computer Vision
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CISS
2008
IEEE
14 years 3 months ago
Distributed estimation in wireless sensor networks via variational message passing
Abstract – In this paper, a variational message passing framework is proposed for Markov random fields. Analogous to the traditional belief propagation algorithm, variational mes...
Yanbing Zhang, Huaiyu Dai
ICPR
2008
IEEE
14 years 10 months ago
Image segmentation by convex quadratic programming
A quadratic programming formulation for multiclass image segmentation is investigated. It is proved that, in the convex case, the non-negativity constraint on the recent reported ...
Mariano Rivera, Oscar Dalmau Cedeño, Josue ...
ICPR
2006
IEEE
14 years 10 months ago
Image Renaissance Using Discrete Optimization
In this paper we propose a novel technique to image completion that addresses image renaissance through a graph-based matching process. To this end, a number of candidate seeds wi...
Cédric Allène, Nikos Paragios
TSP
2008
151views more  TSP 2008»
13 years 9 months ago
Convergence Analysis of Reweighted Sum-Product Algorithms
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
Tanya Roosta, Martin J. Wainwright, Shankar S. Sas...
ECCV
2010
Springer
14 years 12 days ago
Automatic Learning of Background Semantics in Generic Surveilled Scenes
Advanced surveillance systems for behavior recognition in outdoor traffic scenes depend strongly on the particular configuration of the scenario. Scene-independent trajectory analy...
Carles Fernández, Jordi Gonzàlez, Xavier Roca