564 search results - page 73 / 113 » Bayesian Parameter Estimation: A Monte Carlo Approach |
ICPR
2010
IEEE
15 years 20 days ago
2010
IEEE
—This paper describes a novel compound Markov random field model capable of realistic modelling of multispectral bidirectional texture function, which is currently the most adva...
81
Voted
NIPS
2001
14 years 11 months ago
2001
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
ECCV
2004
Springer
15 years 3 months ago
2004
Springer
This paper deals with the computation of optical flow and occlusion detection in the case of large displacements. We propose a Bayesian approach to the optical flow problem and s...
CVPR
1997
IEEE
15 years 1 months ago
1997
IEEE
A recent trend in motion-based segmentation has been to rely on statistical procedures derived from ExpectationMaximization (EM) principles. EM-based approaches have various attra...
84
Voted
AAAI
2011
13 years 10 months ago
2011
Successful approaches to the robot localization problem include Monte Carlo particle filters, which estimate non-parametric localization belief distributions. However, particle ...