1256 search results - page 34 / 252 » On Combining Classifiers |
SSPR
2000
Springer
14 years 2 months ago
2000
Springer
We consider the problem and issues of classifier fusion and discuss how they should be reflected in the fusion system architecture. We adopt the Bayesian viewpoint and show how thi...
CORR
2008
Springer
13 years 11 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
ICPR
2004
IEEE
15 years 2 days ago
2004
IEEE
We propose a novel face recognition strategy combining various discriminating Gabor features in multi-scales and multi-orientations. A bank of well-chosen Gabor filters is applied...
CIARP
2007
Springer
14 years 5 months ago
2007
Springer
We present a methodology to analyze Multiple Classifiers Systems (MCS) performance, using the disagreement concept. The goal is to define an alternative approach to the conventiona...
AVSS
2007
IEEE
14 years 5 months ago
2007
IEEE
We describe a pedestrian classification and tracking system that is able to track and label multiple people in an outdoor environment such as a railway station. The features sele...