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NIPS
2000
13 years 11 months ago
Feature Correspondence: A Markov Chain Monte Carlo Approach
When trying to recover 3D structure from a set of images, the most di cult problem is establishing the correspondence between the measurements. Most existing approaches assume tha...
Frank Dellaert, Steven M. Seitz, Sebastian Thrun, ...
LSSC
2001
Springer
14 years 2 months ago
An Improved Monte Carlo Algorithm for Elastic Electron Backscattering from Surfaces
The problen of the backscattering of electrons from metal targets is subject of extensive theoreticel and experimental work in surface analysis. We are interested in the angular di...
Ivan Dimov, Emanouil I. Atanassov, Mariya K. Durch...
UAI
2001
13 years 11 months ago
Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
John D. Lafferty, Larry A. Wasserman
ECCV
2008
Springer
15 years 2 months ago
 Tracking of Abrupt Motion using Wang-Landau Monte Carlo Estimation
We propose a novel tracking algorithm based on the Wang-Landau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conventional ...
Junseok Kwon (Seoul National University), Kyoung M...
CAV
2009
Springer
187views Hardware» more  CAV 2009»
14 years 10 months ago
A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints
We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
Nathan Kitchen, Andreas Kuehlmann