88 search results - page 3 / 18 » An annealing framework with learning memory |
ICCV
2005
IEEE
14 years 28 days ago
2005
IEEE
In this paper, a novel method for learning based image super resolution (SR) is presented. The basic idea is to bridge the gap between a set of low resolution (LR) images and the ...
ALT
2008
Springer
14 years 4 months ago
2008
Springer
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model con...
LREC
2008
13 years 8 months ago
2008
Generally, ontology learning and population is applied as a semi-automatic approach to knowledge acquisition in natural language understanding systems. That means, after the ontol...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
This paper presents the design of an associative memory with feedback that is capable of on-line temporal sequence learning. A framework for on-line sequence learning has been prop...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...