40 search results - page 3 / 8 » Learning an Outlier-Robust Kalman Filter |
184
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EWRL
2008
15 years 5 months ago
2008
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
129
Voted
MLMI
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. This paper presents a novel approach to the problem of estimating and tracking 3D locations of multiple targets in a scene using measurements gathered from multiple calib...
142
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ENGL
2007
15 years 3 months ago
2007
— The paper presents a novel scheme for target-tracking realized with two mobile robots, where one robot is configured as tracker and the other as moving target. Fuzzy C-means cl...
191
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AROBOTS
2011
14 years 11 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...
110
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IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
— In this paper we present a method of sequential speech enhancement, where we infer clean speech signal using a Rao-Blackwellized particle filter (RBPF), given a noisecontamina...