1438 search results - page 10 / 288 » Feature Selection and Effective Classifiers |
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...
ESWA
2006
13 years 8 months ago
2006
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
ICIP
2009
IEEE
13 years 6 months ago
2009
IEEE
Aiming at unloading the high training time burden of the popular cascaded classifier, in this paper, a novel cascade structure called Fea-Accu cascade is proposed. In Fea-Accu cas...
BMCBI
2006
13 years 8 months ago
2006
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
ICPR
2000
IEEE
14 years 1 months ago
2000
IEEE
In the field of pattern recognition, multiple classifier systems based on the combination of outputs of a set of different classifiers have been proposed as a method for the devel...