565 search results - page 13 / 113 » Lattice Particle Filters |
91
Voted
UAI
2000
14 years 10 months ago
2000
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
ATAL
2005
Springer
15 years 3 months ago
2005
Springer
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...
ICC
2007
IEEE
15 years 3 months ago
2007
IEEE
— Location tracking in wireless networks has many applications, including enhanced network performance. In this work we investigate the experimental use of “particle filter”...
IJCAI
2003
14 years 10 months ago
2003
Particle filters are used extensively for tracking the state of non-linear dynamic systems. This paper presents a new particle filter that maintains samples in the state space a...
AROBOTS
2007
14 years 9 months ago
2007
We describe a novel method whereby a particle filter is used to create a potential field for robot control without prior clustering. We show an application of this technique to ...