440 search results - page 63 / 88 » Learning Nonlinear Dynamic Models from Non-sequenced Data |
NIPS
2004
13 years 10 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
ARC
2010
Springer
13 years 9 months ago
2010
Springer
: System identification is the art and science of building mathematical models of dynamic systems from observed input-output data. It can be seen as the interface between the real ...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We address the character identification problem in
movies and television videos: assigning names to faces on
the screen. Most prior work on person recognition in video
assumes s...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...