5409 search results - page 128 / 1082 » Basic Observables for Processes |
111
click to vote
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
180
click to vote
MLMI
2007
Springer
15 years 7 months ago
2007
Springer
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
97
Voted
ICSM
2006
IEEE
15 years 6 months ago
2006
IEEE
The main challenge of dynamic analysis is the huge volume of data, making it difficult to extract high level views. Most techniques developed so far adopt a finegrained approach ...
89
Voted
IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
– We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...
124
click to vote
ESSMAC
2003
Springer
15 years 6 months ago
2003
Springer
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...