A comparative study of decision combination strategies for a novel multiple-expert classifier

Rahman, Ahmad Fuad Rezaur and Fairhurst, Michael (1997) A comparative study of decision combination strategies for a novel multiple-expert classifier. In: Sixth International Conference on Image Processing and its Applications, Dublin, Ireland. (The full text of this publication is not available from this repository)

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Abstract

The performance of a novel multiple expert decision combination strategy has been compared with other multiple expert decision combination methods reported in the literature. The concept of decision combination has been generalised in two different categories and it has been demonstrated how these different categories perform with respect to each other under optimised conditions.

Item Type: Conference or workshop item (Other)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts
Depositing User: T.J. Sango
Date Deposited: 21 May 2009 07:29
Last Modified: 19 May 2014 11:21
Resource URI: http://kar.kent.ac.uk/id/eprint/17896 (The current URI for this page, for reference purposes)
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