12 search results - page 1 / 3 » Gaussian Beam Processes: A Nonparametric Bayesian Measuremen... |
RSS
2007
13 years 10 months ago
2007
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
JAIR
2008
13 years 8 months ago
2008
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
ICRA
2008
IEEE
14 years 3 months ago
2008
IEEE
— This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. The modeling rigorously explains all model assumpt...
ICASSP
2011
IEEE
13 years 7 days ago
2011
IEEE
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
JMLR
2002
13 years 8 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....