40 search results - page 1 / 8 » Learning an Outlier-Robust Kalman Filter |
ECML
2007
Springer
13 years 10 months ago
2007
Springer
We introduce a modified Kalman filter that performs robust, real-time outlier detection, without the need for manual parameter tuning by the user. Systems that rely on high quali...
EUSFLAT
2009
13 years 2 months ago
2009
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
ICML
2001
IEEE
2001
IEEE
A Generalized Kalman Filter for Fixed Point Approximation and Efficient Temporal Difference Learning
14 years 5 months ago
DIS
2006
Springer
13 years 8 months ago
2006
Springer
We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this i...
IROS
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...