66 search results - page 3 / 14 » Dynamic Human Pose Estimation using Markov Chain Monte Carlo... |
ICCV
2001
IEEE
15 years 11 months ago
2001
IEEE
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a natural application, given the nonlinear dynamics of...
130
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PR
2011
14 years 7 days ago
2011
One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
83
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ICCS
2007
Springer
15 years 3 months ago
2007
Springer
In this work we study the computational complexity of a class of grid Monte Carlo algorithms for integral equations. The idea of the algorithms consists in an approximation of the ...
AAAI
2006
14 years 10 months ago
2006
This paper describes a technique for the probabilistic self-localization of a sensor network based on noisy inter-sensor range data. Our method is based on a number of parallel in...
SAC
2008
ACM
14 years 8 months ago
2008
ACM
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...