NDLI: On the combination of ${\it abstract-level}$ classifiers

Content Provider	Springer Nature Link
Author	Bovi, L. Dimauro, G. Impedovo, S. Lucchese, M. G. Modug, R. Pirlo, G. Salzo, A. Sarcinella, L.
Copyright Year	2003
Abstract	This paper presents a framework for the analysis of similarity among abstract-level classifiers and proposes a methodology for the evaluation of combination methods. In this paper, each abstract-level classifier is considered as a random variable, and sets of classifiers with different degrees of similarity are systematically simulated, combined, and studied. It is shown to what extent the performance of each combination method depends on the degree of similarity among classifiers and the conditions under which each combination method outperforms the others. Experimental tests have been carried out on simulated and real data sets. The results confirm the validity of the proposed methodology for the analysis of combination methods and its usefulness for multiclassifier system design.
Starting Page	42
Ending Page	54
Page Count	13
File Format	PDF
ISSN	14332833
Journal	International Journal of Document Analysis and Recognition (IJDAR)
Volume Number	6
Issue Number	1
e-ISSN	14332825
Language	English
Publisher	Springer-Verlag
Publisher Date	2003-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Abstract-level classifiers Classification Combination methods Multiclassifier systems Similarity
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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