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PAMI
2002
127views more  PAMI 2002»
13 years 8 months ago
Image Segmentation by Data-Driven Markov Chain Monte Carlo
Zhuowen Tu, Song Chun Zhu
IOR
2008
91views more  IOR 2008»
13 years 8 months ago
A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains
We introduce and study a randomized quasi-Monte Carlo method for estimating the state distribution at each step of a Markov chain. The number of steps in the chain can be random an...
Pierre L'Ecuyer, Christian Lécot, Bruno Tuf...
AUTOMATICA
2010
122views more  AUTOMATICA 2010»
13 years 8 months ago
Bayesian system identification via Markov chain Monte Carlo techniques
The work here explores new numerical methods for supporting a Bayesian approach to parameter estimation of dynamic systems. This is primarily motivated by the goal of providing ac...
Brett Ninness, Soren J. Henriksen
ICIP
2002
IEEE
14 years 10 months ago
A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimages
Ana S. Lukic, Miles N. Wernick, Nikolas P. Galatsa...
PR
2011
12 years 11 months ago
Generalized darting Monte Carlo
One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
Cristian Sminchisescu, Max Welling