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» Speeeding Up Markov Chain Monte Carlo Algorithms
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CVPR
2009
IEEE
14 years 3 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
ICPR
2010
IEEE
13 years 11 months ago
A Graph Matching Algorithm using Data-Driven Markov Chain Monte Carlo Sampling
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficien...
Jungmin Lee, Minsu Cho, Kyoung Mu Lee
FOCS
1999
IEEE
13 years 9 months ago
Torpid Mixing of Some Monte Carlo Markov Chain Algorithms in Statistical Physics
We study two widely used algorithms, Glauber dynamics and the Swendsen-Wang algorithm, on rectangular subsets of the hypercubic lattice
Christian Borgs, Jennifer T. Chayes, Alan M. Friez...
ICPP
2007
IEEE
13 years 11 months ago
Parallel Algorithms for Bayesian Indoor Positioning Systems
We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...
Konstantinos Kleisouris, Richard P. Martin