loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
A Toplogy Based Multi-Classifier System
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
Yann Prudent, University and INSA of Rouen PSI Laboratory, France
Abdellatif Ennaji, University and INSA of Rouen PSI Laboratory, France
This paper introduces a new scheme for the general problem of classification task-solving by designing a multiclassifier system. The distribution process respects the data topology in the feature space in order to reach reliable decisions. To this end we use a self-organizing network which give a graph which represent the data topology. During the decision process this graph is used to activate the appropriate classifiers among a set of committee experts. Comparative results are given for a handwritten digit recognition problem.
Citation:
Yann Prudent, Abdellatif Ennaji, "A Toplogy Based Multi-Classifier System," icdar, pp.670-674, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.