271 search results - page 35 / 55 » Bayesian Reward Filtering |
ACCV
2009
Springer
15 years 4 months ago
2009
Springer
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...
ICRA
2008
IEEE
15 years 4 months ago
2008
IEEE
— The lack of a parameterized observation model in robot localization using occupancy grids requires the application of sampling-based methods, or particle filters. This work ad...
SCIA
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Recently, an energy-based unified framework for image denoising was proposed by Mr´azek et al. [10], from which existing nonlinear filters such as M-smoothers, bilater...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...