868 search results - page 53 / 174 » Learning Object Representations Using Sequential Patterns |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
FLAIRS
2008
13 years 10 months ago
2008
1 In this paper, we propose a peptide folding prediction method which discovers contrast patterns to differentiate and predict peptide folding classes. A contrast pattern is defin...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
COLT
2007
Springer
14 years 1 months ago
2007
Springer
Property testing deals with tasks where the goal is to distinguish between the case that an object (e.g., function or graph) has a prespecified property (e.g., the function is li...
ARCS
2005
Springer
14 years 1 months ago
2005
Springer
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...