141 search results - page 15 / 29 » Learning r-of-k Functions by Boosting |
ICMLA
2004
13 years 8 months ago
2004
AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...
IBPRIA
2007
Springer
14 years 27 days ago
2007
Springer
One of the major difficulties of handwriting recognition is the variability among symbols because of the different writer styles. In this paper we introduce the boosting of blurre...
IPMI
2007
Springer
14 years 26 days ago
2007
Springer
In this paper we propose an automated approach for joint sulci detection on cortical surfaces by using graphical models and boosting techniques to incorporate shape priors of major...
ICCV
2005
IEEE
14 years 10 days ago
2005
IEEE
We present a general algorithm of image based regression that is applicable to many vision problems. The proposed regressor that targets a multiple-output setting is learned using...
BMCBI
2006
13 years 6 months ago
2006
Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...