2295 search results - page 178 / 459 » Learning Overcomplete Representations |
114
Voted
ICIP
2005
IEEE
16 years 2 months ago
2005
IEEE
Content-based image retrieval systems still have difficulties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is loo...
100
Voted
ICPR
2000
IEEE
16 years 2 months ago
2000
IEEE
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
130
Voted
ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
91
Voted
ICML
2002
IEEE
16 years 1 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
96
Voted
ALT
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. We consider the problem of learning stochastic tree languages, i.e. probability distributions over a set of trees T(F), from a sample of trees independently drawn accordi...