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» Bayesian Parameter Estimation: A Monte Carlo Approach
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CVPR
2010
IEEE
12 years 3 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
ECCV
2006
Springer
14 years 8 months ago
Non Linear Temporal Textures Synthesis: A Monte Carlo Approach
In this paper we consider the problem of temporal texture modeling and synthesis. A temporal texture (or dynamic texture) is seen as the output of a dynamical system driven by whit...
Andrea Masiero, Alessandro Chiuso
BMCBI
2007
153views more  BMCBI 2007»
13 years 6 months ago
Estimating genealogies from linked marker data: a Bayesian approach
Background: Answers to several fundamental questions in statistical genetics would ideally require knowledge of the ancestral pedigree and of the gene flow therein. A few examples...
Dario Gasbarra, Matti Pirinen, Mikko J. Sillanp&au...
ICGA
2008
208views Optimization» more  ICGA 2008»
13 years 6 months ago
Cross-Entropy for Monte-Carlo Tree Search
Recently, Monte-Carlo Tree Search (MCTS) has become a popular approach for intelligent play in games. Amongst others, it is successfully used in most state-of-the-art Go programs....
Guillaume Chaslot, Mark H. M. Winands, Istvan Szit...
CDC
2009
IEEE
131views Control Systems» more  CDC 2009»
13 years 10 months ago
Further results on plant parameter identification using continuous-time multiple-model adaptive estimators
This paper describes a deterministic approach to adaptive state and parameter estimation using a multiple model structure. In the set-up adopted, the plant of interest is described...
Vahid Hassani, A. Pedro Aguiar, António Man...