43 search results - page 7 / 9 » Approximating state estimation in multiagent settings using ... |
AROBOTS
2011
13 years 3 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...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
We address the consensus-based distributed linear filtering problem, where a discrete time, linear stochastic process is observed by a network of sensors. We assume that the consen...
ICANN
2009
Springer
14 years 15 days ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
AINA
2009
IEEE
14 years 2 months ago
2009
IEEE
Over the last few years, target tracking in wireless sensor networks has become a topic of particular interest. This paper presents a tracking system intended for deployment in di...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Filtering based algorithms have become popular in tracking human body pose. Such algorithms can suffer the curse of dimensionality due to the high dimensionality of the pose state ...