1419 search results - page 236 / 284 » Approximation Methods for Supervised Learning |
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
MICCAI
2006
Springer
14 years 9 months ago
2006
Springer
This paper presents a learning based method for automatic extraction of the major cortical sulci from MRI volumes or extracted surfaces. Instead of using a few pre-defined rules su...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
GECCO
2006
Springer
14 years 13 days ago
2006
Springer
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
ECCV
2006
Springer
14 years 10 months ago
2006
Springer
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...