1765 search results - page 5 / 353 » Combinations of Weak Classifiers |
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
PAA
2002
13 years 8 months ago
2002
: The idea of performing model combination, instead of model selection, has a long theoretical background in statistics. However, making use of theoretical results is ordinarily su...
ICDCS
2010
IEEE
13 years 8 months ago
2010
IEEE
—In this paper, we classify multitolerant systems, i.e., systems that tolerate multiple classes of faults and provide potentially different levels of tolerance to them in terms o...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
ECML
2007
Springer
14 years 14 days ago
2007
Springer
Class binarizations are effective methods for improving weak learners by decomposing multi-class problems into several two-class problems. This paper analyzes how these methods can...