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CISS
2008
IEEE
14 years 1 months ago
Near optimal lossy source coding and compression-based denoising via Markov chain Monte Carlo
— We propose an implementable new universal lossy source coding algorithm. The new algorithm utilizes two wellknown tools from statistical physics and computer science: Gibbs sam...
Shirin Jalali, Tsachy Weissman
ICRA
2005
IEEE
149views Robotics» more  ICRA 2005»
14 years 1 months ago
A Markov Chain Monte Carlo Approach to Closing the Loop in SLAM
— The problem of simultaneous localization and mapping has received much attention over the last years. Especially large scale environments, where the robot trajectory loops back...
Michael Kaess, Frank Dellaert
FOCS
1999
IEEE
13 years 11 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...
UAI
2001
13 years 8 months ago
Markov Chain Monte Carlo using Tree-Based Priors on Model Structure
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...
Nicos Angelopoulos, James Cussens
BIOINFORMATICS
2008
148views more  BIOINFORMATICS 2008»
13 years 7 months ago
Bayesian inference of the sites of perturbations in metabolic pathways via Markov chain Monte Carlo
Bayu Jayawardhana, Douglas B. Kell, Magnus Rattray