50 search results - page 1 / 10 » Rao-Blackwellised Particle Filtering for Dynamic Bayesian Ne... |
UAI
2000
13 years 7 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...
IJCAI
2003
13 years 7 months ago
2003
Estimating the location of people using a network of sensors placed throughout an environment is a fundamental challenge in smart environments and ubiquitous computing. Id-sensors...
IJSNET
2007
13 years 6 months ago
2007
: A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
ICIP
2005
IEEE
14 years 8 months ago
2005
IEEE
In this paper we present a technique for the tracking of textured almost planar object. The target is modeled as a noisy planar cloud of points. The tracking is led with an approp...
ECAI
2006
Springer
13 years 10 months ago
2006
Springer
Particle filtering (PF) for dynamic Bayesian networks (DBNs) with discrete-state spaces includes a resampling step which concentrates samples according to their relative weight in ...