827 search results - page 127 / 166 » Variational methods for Reinforcement Learning |
ICANN
2011
Springer
12 years 11 months ago
2011
Springer
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
IVC
2006
13 years 7 months ago
2006
We propose a novel approach for modeling, tracking and recognizing facial expressions. Our method works on a low dimensional expression manifold, which is obtained by Isomap embed...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We define a new “contour person” model of the human body that has the expressive power of a detailed 3D model and the computational benefits of a simple 2D part-based model....
RSS
2007
13 years 9 months ago
2007
Abstract— We consider the task of omnidirectional path following for a quadruped robot: moving a four-legged robot along any arbitrary path while turning in any arbitrary manner....
ICPR
2008
IEEE
2008
IEEE
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
14 years 9 months ago
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...