Sciweavers

1340 search results - page 4 / 268
» Kalman Temporal Differences
Sort
View
ICASSP
2011
IEEE
12 years 11 months ago
Variational Bayesian Kalman filtering in dynamical tomography
The problem of dynamical tomography consists in reconstructing a temporal sequence of images from their noisy projections. For this purpose, a recursive algorithm is usually used,...
Boujemaa Ait-El-Fquih, Thomas Rodet
EWSN
2008
Springer
14 years 7 months ago
Tracking Dynamic Boundary Fronts Using Range Sensors
Abstract. We examine the problem of tracking dynamic boundaries occurring in natural phenomena using range sensors. Two main challenges of the boundary tracking problem are energy-...
Subhasri Duttagupta, Krithi Ramamritham, Purushott...
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
13 years 11 months ago
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation
We study how different prediction update algorithms influence the performance of XCSF. We consider three classical parameter estimation algorithms (NLMS, RLS, and Kalman filter) a...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
ICPR
2006
IEEE
14 years 8 months ago
Kalman Filtering for Robust Identification of Face Images with Varying Expressions and Lighting Conditions
We propose a novel algorithm for the identification of faces from image samples. The algorithm uses the Kalman filter to identify significant face features. We employ the Kalmanfa...
Horst Eidenberger
IJON
2002
103views more  IJON 2002»
13 years 7 months ago
RBF networks training using a dual extended Kalman filter
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...
Iulian B. Ciocoiu