156 search results - page 8 / 32 » Learning Relational Kalman Filtering |
AROBOTS
2011
13 years 5 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
LREC
2008
13 years 11 months ago
2008
Automated extraction of ontological knowledge from text corpora is a relevant task in Natural Language Processing. In this paper, we focus on the problem of finding hypernyms for ...
CIS
2010
Springer
13 years 5 months ago
2010
Springer
A group of mobile robots can localize cooperatively, using relative position and absolute orientation measurements, fused through an extended Kalman filter (ekf). The topology of ...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
ICAT
2003
IEEE
14 years 3 months ago
2003
IEEE
A basic problem with Augmented Reality systems using Head-Mounted Displays (HMDs) is the perceived latency or lag. This delay corresponds to the elapsed time between the moment wh...