57 search results - page 3 / 12 » Kernel Predictive Linear Gaussian models for nonlinear stoch... |
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract-- This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of [1] by introducin...
BMCBI
2007
13 years 7 months ago
2007
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
CVPR
2009
IEEE
15 years 1 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, ...
AUTOMATICA
2010
13 years 7 months ago
2010
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we propose a Gaussian Process Regression (GPR) framework for concealment of corrupted motion vectors in predictive video coding of packet video systems. The problem...