Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)

<Previous Article In Volume
Next Article In Volume>

Distances Tree as SVM Ensemble in Digits Recognition Task

Authors
Marcin Jerzy Luckner1
1Warsaw University of Technology
Corresponding Author
Marcin Jerzy Luckner
Available Online December 2008.
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/).

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
Series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
10.2991/jcis.2008.55
ISSN
1951-6851
DOI
10.2991/jcis.2008.55How to use a DOI?
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/).

Cite this article

risenwbib
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  -