28 search results - page 3 / 6 » A state estimator for nonlinear stochastic systems based on ... |
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
An algorithm for estimating the pose, i.e., translation and rotation, of an extended target object is introduced. Compared to conventional methods, where pose estimation is perfor...
IJON
1998
13 years 7 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
ICANN
2009
Springer
14 years 13 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...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
ECCV
2004
Springer
14 years 1 months ago
2004
Springer
Stochastic tracking of structured models in monolithic state spaces often requires modeling complex distributions that are difficult to represent with either parametric or sample...