111 search results - page 2 / 23 » Dynamical Modeling with Kernels for Nonlinear Time Series Pr... |
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
System theoretic approaches to action recognition model the dynamics of a scene with linear dynamical systems (LDSs) and perform classification using metrics on the space of LDSs, ...
IWANN
2005
Springer
14 years 1 months ago
2005
Springer
Prediction of time series is an important problem in many areas of science and engineering. Extending the horizon of predictions further to the future is the challenging and diffic...
ESANN
2006
13 years 9 months ago
2006
In this paper, an improvement to the E step of the EM algorithm for nonlinear state-space models is presented. We also propose strategies for model structure selection when the EM-...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
SBRN
2000
IEEE
14 years 17 hour ago
2000
IEEE
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...