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FCS
2006
13 years 6 months ago
Speeeding Up Markov Chain Monte Carlo Algorithms
We prove an upper bound on the convergence rate of Markov Chain Monte Carlo (MCMC) algorithms for the important special case when the state space can be aggregated into a smaller ...
Andras Farago
ICPR
2010
IEEE
13 years 11 months ago
Continuous Markov Random Field Optimization using Fusion Move Driven Markov Chain Monte Carlo Technique
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
Wonsik Kim (Seoul National University), Kyoung Mu ...
CVPR
2009
IEEE
14 years 2 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 ...
PAMI
2002
127views more  PAMI 2002»
13 years 4 months ago
Image Segmentation by Data-Driven Markov Chain Monte Carlo
Zhuowen Tu, Song Chun Zhu
GLOBECOM
2007
IEEE
13 years 11 months ago
Markov Chain Monte Carlo MIMO Detection Methods for High Signal-to-Noise Ratio Regimes
— Markov Chain Monte Carlo methods have recently been applied as front-end detectors in multipleinput multiple-output (MIMO) communication systems. Moreover, the near capacity be...
Xuehong Mao, Peiman Amini, Behrouz Farhang-Borouje...