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» Learning an Outlier-Robust Kalman Filter
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EWRL
2008
13 years 9 months ago
Bayesian Reward Filtering
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...
Matthieu Geist, Olivier Pietquin, Gabriel Fricout
MLMI
2005
Springer
14 years 29 days ago
Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding
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...
Cristian Canton-Ferrer, Josep R. Casas, A. Murat T...
ENGL
2007
164views more  ENGL 2007»
13 years 7 months ago
Vision Based Target-Tracking Realized with Mobile Robots using Extended Kalman Filter
— 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...
Sheli Sinha Chaudhuri, Amit Konar
AROBOTS
2011
13 years 2 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
IJCNN
2006
IEEE
14 years 1 months ago
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement
— 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...
Sunho Park, Seungjin Choi