3718 search results - page 91 / 744 » On learning with dissimilarity functions |
MICCAI
2009
Springer
14 years 10 months ago
2009
Springer
Abstract. In this paper, we propose a framework for learning the parameters of registration cost functions ? such as the tradeoff between the regularization and image similiarity t...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
We present an efficient method for maximizing energy functions with first and second order potentials, suitable for MAP labeling estimation problems that arise in undirected graph...
ICRA
2008
IEEE
14 years 3 months ago
2008
IEEE
— In order for a mobile robot to accurately interpret its sensations and predict the effects of its actions, it must have accurate models of its sensors and actuators. These mode...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
ITICSE
1997
ACM
14 years 1 months ago
1997
ACM
The field of Genetic Algorithms has grown into a huge area over the last few years. Genetic Algorithms are adaptive methods, which can be used to solve search and optimisation pro...