125 search results - page 3 / 25 » Adaptive methods for sequential importance sampling with app... |
CAEPIA
2003
Springer
13 years 11 months ago
2003
Springer
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
ICCV
2011
IEEE
12 years 3 months ago
2011
IEEE
We propose a novel tracking framework called visual tracker sampler that tracks a target robustly by searching for the appropriate trackers in each frame. Since the real-world trac...
AAAI
2007
13 years 8 months ago
2007
State estimation in multiagent settings involves updating an agent’s belief over the physical states and the space of other agents’ models. Performance of the previous approac...
CGF
2008
13 years 6 months ago
2008
This paper presents a novel method that effectively combines both control variates and importance sampling in a sequential Monte Carlo context. The radiance estimates computed dur...
SIAMSC
2008
13 years 6 months ago
2008
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...