Rejecting Foreign Elements in Pattern Recognition Problem - Reinforced Training of Rejection Level

Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz

2015

Abstract

Standard assumption of pattern recognition problem is that processed elements belong to recognized classes. However, in practice, we are often faced with elements presented to recognizers, which do not belong to such classes. For instance, paper-to-computer recognition technologies (e.g. character or music recognition technologies, both printed and handwritten) must cope with garbage elements produced at segmentation level. In this paper we distinguish between elements of desired classes and other ones. We call them native and foreign elements, respectively. The assumption that we have only native elements results in incorrect inclusion of foreign ones into desired classes. Since foreign elements are usually not known at the stage of recognizer construction, standard classification methods fail to eliminate them. In this paper we study construction of recognizers based on support vector machines and aimed on coping with foreign elements. Several tests are performed on real-world data.

Paper Citation

in Harvard Style

Homenda W., Jastrzebska A. and Pedrycz W. (2015). Rejecting Foreign Elements in Pattern Recognition Problem - Reinforced Training of Rejection Level . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-074-1, pages 90-99. DOI: 10.5220/0005207900900099

in Bibtex Style

@conference{icaart15,
author={Wladyslaw Homenda and Agnieszka Jastrzebska and Witold Pedrycz},
title={Rejecting Foreign Elements in Pattern Recognition Problem - Reinforced Training of Rejection Level},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2015},
pages={90-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005207900900099},
isbn={978-989-758-074-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Rejecting Foreign Elements in Pattern Recognition Problem - Reinforced Training of Rejection Level
SN - 978-989-758-074-1
AU - Homenda W.
AU - Jastrzebska A.
AU - Pedrycz W.
PY - 2015
SP - 90
EP - 99
DO - 10.5220/0005207900900099