Distances Tree as SVM Ensemble in Digits Recognition Task
Marcin Jerzy Luckner1
1Warsaw University of Technology
Marcin Jerzy Luckner
Available Online December 2008.
- 10.2991/jcis.2008.55How to use a DOI?
- Pattern Recognition, SVM, decisions tree
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
- © 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
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 -