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» Bayesian Parameter Estimation: A Monte Carlo Approach
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CVPR
2010
IEEE
13 years 7 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
15 years 12 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»
14 years 10 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»
14 years 10 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»
15 years 2 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...