This tutorial was held within the Maths Club at the University of Leeds
Topics covered (briefly):
Monte Carlo Integration
Markov Chain
Markov Chain Monte Carlo Sampling
Metrop...
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 ...
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 ...
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 ...
— 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...