1290 search results - page 135 / 258 » New algorithms of the Q-learning type |
CORR
2007
Springer
13 years 9 months ago
2007
Springer
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
ICRA
2010
IEEE
13 years 7 months ago
2010
IEEE
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
TOG
2008
13 years 7 months ago
2008
Although mature technologies exist for acquiring images, geometry, and normals of small objects, they remain cumbersome and time-consuming for non-experts to employ on a large sca...
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
ICIP
2006
IEEE
14 years 10 months ago
2006
IEEE
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...