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Comparison of some multiple expert strategies: An investigation of resource prerequisites and achievable performance

Rahman, Ahmad Fuad Rezaur and Fairhurst, Michael (2000) Comparison of some multiple expert strategies: An investigation of resource prerequisites and achievable performance. In: Sanfeliu, A. and Villanueva, J.J. and Vanrell, M. and Alquezar, R. and Crowley, J. and Shirai, Y., eds. Proceedings 15th International Conference On Pattern Recognition. IEEE, pp. 841-844. ISBN 0-7695-0750-6. (doi:10.1109/ICPR.2000.903048) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/ICPR.2000.903048

Abstract

Implementation of various multiple expert decision combination approaches for recognition of machine printed characters involves costs in terms of number of processing elements and the overall layout of the decision fusion hierarchy. This paper investigates the relationship between the implementation cost and the performance achieved by these approaches. Seven different multiple expert decision combination approaches have been investigated in terms of this cost versus performance profile.

Item Type: Book section
DOI/Identification number: 10.1109/ICPR.2000.903048
Additional information: Int Assoc Pattern Recognit; Assoc Pattern Recognit & Image Anal; Ctr Visio Comp; Univ Autonoma Barcelona; Univ Politecn Catalunya; Comissionat Universitats Recerca, Generalitat Catalunya Dept Presidencia; Minist Ciencia Tecnol; Fdn Catalana Recerca; HP Invent
Subjects: T Technology
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: A. Xie
Date Deposited: 29 Aug 2009 20:26 UTC
Last Modified: 02 Jul 2019 10:09 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/16536 (The current URI for this page, for reference purposes)
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