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
DOI Bookmark:
http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.37
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
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