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» Monte Carlo Localization with Mixture Proposal Distribution
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ICPR
2010
IEEE
13 years 5 months ago
Efficient Polygonal Approximation of Digital Curves via Monte Carlo Optimization
A novel stochastic searching scheme based on the Monte Carlo optimization is presented for polygonal approximation (PA) problem. We propose to combine the split-and-merge based lo...
Xiuzhuang Zhou, Yao Lu
ECAI
2010
Springer
13 years 8 months ago
Nested Monte-Carlo Expression Discovery
Nested Monte-Carlo search is a general algorithm that gives good results in single player games. Genetic Programming evaluates and combines trees to discover expressions that maxim...
Tristan Cazenave
CGA
2005
13 years 7 months ago
A Novel Monte Carlo Noise Reduction Operator
A novel Monte Carlo noise reduction operator is proposed in this paper. We apply and extend the standard bilateral filtering method and build a new local adaptive noise reduction k...
Ruifeng Xu, Sumanta N. Pattanaik
ICIP
2004
IEEE
14 years 9 months ago
Efficient proposal distributions for MCMC image segmentation
We present methods to obtain computationally efficient proposal distributions for Bayesian reversible jump Markov chain Monte Carlo (RJMCMC) based image segmentation. The slow con...
Timo Kostiainen, Jouko Lampinen
CVPR
2007
IEEE
14 years 1 months ago
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Qian Yu, Gérard G. Medioni, Isaac Cohen