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» Bayesian Parameter Estimation: A Monte Carlo Approach
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IVC
2007
89views more  IVC 2007»
13 years 7 months ago
Sequential Monte Carlo tracking by fusing multiple cues in video sequences
This paper presents visual cues for object tracking in video sequences using particle filtering. A consistent histogram-based framework is developed for the analysis of colour, e...
Paul Brasnett, Lyudmila Mihaylova, David R. Bull, ...
ICASSP
2011
IEEE
12 years 11 months ago
Direction-resolved estimation of multipath parameters for UWB channels: A partially collapsed Gibbs sampler method
We propose a Monte Carlo method for determining the parameters of multipath components (MPCs) for ultra-wideband channels. A partially collapsed Gibbs sampler is used for jointly ...
Georg Kail, Klaus Witrisal, Franz Hlawatsch
LSSC
2001
Springer
13 years 11 months ago
A Quasi-Monte Carlo Method for Integration with Improved Convergence
Abstract. Quasi-Monte Carlo methods are based on the idea that random Monte Carlo techniques can often be improved by replacing the underlying source of random numbers with a more ...
Aneta Karaivanova, Ivan Dimov, Sofiya Ivanovska
ECML
2006
Springer
13 years 11 months ago
Bandit Based Monte-Carlo Planning
Abstract. For large state-space Markovian Decision Problems MonteCarlo planning is one of the few viable approaches to find near-optimal solutions. In this paper we introduce a new...
Levente Kocsis, Csaba Szepesvári
DATE
2010
IEEE
171views Hardware» more  DATE 2010»
14 years 12 days ago
Statistical static timing analysis using Markov chain Monte Carlo
—We present a new technique for statistical static timing analysis (SSTA) based on Markov chain Monte Carlo (MCMC), that allows fast and accurate estimation of the right-hand tai...
Yashodhan Kanoria, Subhasish Mitra, Andrea Montana...