179 search results - page 30 / 36 » Phase Transitions in Relational Learning |
IROS
2006
IEEE
14 years 22 days ago
2006
IEEE
- Robot companions need to be able to constantly acquire knowledge about new objects for instance in order to detect them in the environment. This ability is necessary since it is ...
NIPS
2004
13 years 8 months ago
2004
Areas of the brain involved in various forms of memory exhibit patterns of neural activity quite unlike those in canonical computational models. We show how to use well-founded Ba...
NN
2000
Springer
13 years 6 months ago
2000
Springer
A neural network model that can simulate the learning of some simple proportional analogies is presented. These analogies include, for example, (a) red-square:red-circle yellow-sq...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Learning a discriminant becomes substantially more difficult when the datasets are high-dimensional and the available samples are few. This is often the case in computer vision an...
ICCV
2007
IEEE
14 years 1 months ago
2007
IEEE
In this paper, we address the problem of learning compact, view-independent, realistic 3D models of human actions recorded with multiple cameras, for the purpose of recognizing th...