Distances Tree as SVM Ensemble in Digits Recognition Task

DOI

10.2991/jcis.2008.55How to use a DOI?

Keywords

Pattern Recognition, SVM, decisions tree

Abstract

This paper presents several algorithms that create a classification system based on SVM classifiers grouped in a tree structure. Analysis of similarity between classes allows to reduce of number of used SVM in comparison to DAGSVM method without major reduction of an accuracy. Practical tests of map texts recognition task are also presented

Copyright

© 2008, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Marcin Jerzy Luckner
PY  - 2008/12
DA  - 2008/12
TI  - Distances Tree as SVM Ensemble in Digits Recognition Task
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 317
EP  - 322
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.55
DO  - 10.2991/jcis.2008.55
ID  - Luckner2008/12
ER  -