Evaluation of the information-theoretic construction of multiple classifier systems

Hee Joong Kang; David Doermann

doi:10.1109/ICDAR.2003.1227770

Evaluation of the information-theoretic construction of multiple classifier systems

Hee Joong Kang
, David Doermann

Department of Computer Science and Engineering

Hansung University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

The performance of multiple classifier systems varies with the performance of component classifiers as well as the method of combination. In this paper, informationtheoretic methods are proposed for constructing multiple classifier systems, provided that the number of component classifiers is constrained in advance. These proposed methods are applied to a classifier pool and examine the possible classifier sets by the selected information-theoretic criteria. One of them is then selected as the candidate and is evaluated together with the other multiple classifier systems on the recognition of unconstrained handwritten numerals from Concordia University and the University of California, Irvine. Experimental results support the approach.

Original language	English
Title of host publication	Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003
Publisher	IEEE Computer Society
Pages	789-793
Number of pages	5
ISBN (Electronic)	0769519601
DOIs	https://doi.org/10.1109/ICDAR.2003.1227770
State	Published - 2003
Event	7th International Conference on Document Analysis and Recognition, ICDAR 2003 - Edinburgh, United Kingdom Duration: Aug 3 2003 → Aug 6 2003

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2003-January
ISSN (Print)	1520-5363

Conference

Conference	7th International Conference on Document Analysis and Recognition, ICDAR 2003
Country/Territory	United Kingdom
City	Edinburgh
Period	08/3/03 → 08/6/03

Access to Document

10.1109/ICDAR.2003.1227770

Cite this

Kang, H. J., & Doermann, D. (2003). Evaluation of the information-theoretic construction of multiple classifier systems. In Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003 (pp. 789-793). Article 1227770 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2003-January). IEEE Computer Society. https://doi.org/10.1109/ICDAR.2003.1227770

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title = "Evaluation of the information-theoretic construction of multiple classifier systems",

abstract = "The performance of multiple classifier systems varies with the performance of component classifiers as well as the method of combination. In this paper, informationtheoretic methods are proposed for constructing multiple classifier systems, provided that the number of component classifiers is constrained in advance. These proposed methods are applied to a classifier pool and examine the possible classifier sets by the selected information-theoretic criteria. One of them is then selected as the candidate and is evaluated together with the other multiple classifier systems on the recognition of unconstrained handwritten numerals from Concordia University and the University of California, Irvine. Experimental results support the approach.",

author = "Kang, \{Hee Joong\} and David Doermann",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 7th International Conference on Document Analysis and Recognition, ICDAR 2003 ; Conference date: 03-08-2003 Through 06-08-2003",

year = "2003",

doi = "10.1109/ICDAR.2003.1227770",

language = "English",

series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",

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Kang, HJ & Doermann, D 2003, Evaluation of the information-theoretic construction of multiple classifier systems. in Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003., 1227770, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2003-January, IEEE Computer Society, pp. 789-793, 7th International Conference on Document Analysis and Recognition, ICDAR 2003, Edinburgh, United Kingdom, 08/3/03. https://doi.org/10.1109/ICDAR.2003.1227770

Evaluation of the information-theoretic construction of multiple classifier systems. / Kang, Hee Joong; Doermann, David.
Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003. IEEE Computer Society, 2003. p. 789-793 1227770 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2003-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The performance of multiple classifier systems varies with the performance of component classifiers as well as the method of combination. In this paper, informationtheoretic methods are proposed for constructing multiple classifier systems, provided that the number of component classifiers is constrained in advance. These proposed methods are applied to a classifier pool and examine the possible classifier sets by the selected information-theoretic criteria. One of them is then selected as the candidate and is evaluated together with the other multiple classifier systems on the recognition of unconstrained handwritten numerals from Concordia University and the University of California, Irvine. Experimental results support the approach.

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Kang HJ, Doermann D. Evaluation of the information-theoretic construction of multiple classifier systems. In Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003. IEEE Computer Society. 2003. p. 789-793. 1227770. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). doi: 10.1109/ICDAR.2003.1227770

Evaluation of the information-theoretic construction of multiple classifier systems

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