2295 search results - page 140 / 459 » Learning Overcomplete Representations |
64
Voted
COGSCI
2010
15 years 25 days ago
2010
A multi-modal person representation contains information about what a person looks like and what a person sounds like. However, little is known about how children form these face-...
99
Voted
CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
118
Voted
EUSFLAT
2003
15 years 2 months ago
2003
This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The dat...
96
Voted
NIPS
2001
15 years 2 months ago
2001
We address two open theoretical questions in Policy Gradient Reinforcement Learning. The first concerns the efficacy of using function approximation to represent the state action ...
84
Voted
AAAI
1994
15 years 2 months ago
1994
We introduce a new framework for the study of reasoning. The Learning (in order) to Reason approach developed here views learning as an integral part of the inference process, and ...