Rahman, Ahmad Fuad Rezaur and Fairhurst, Michael (1997) Introducing new multiple expert decision combination topologies: A case study using recognition of handwritten characters. I E E E, Computer Soc Press, Los Alamitos, CA, 1200 pp. ISBN 0-8186-7899-2. (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)
A new topology for classifying decision combinations of multiple experts in the framework of a multiple expert character recognition platform is introduced. It is demonstrated that many existing multiple expert configurations for character recognition can be categorised by using this method of defining classification strategies. It is aba demonstrated that the design of multiple expert character recognition configurations can be streamlined by classifying these structures in terms of how the channels used far carrying information among different experts are interconnected irrespective of We algorithms used by cooperating experts and by the final decision combination expert. Case studies of actual multiple expert character recognition configurations have been investigated and it is shown how they can be categorised with respect to the decision combination topologies introduced in the paper.
|Subjects:||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 07:37|
|Last Modified:||19 May 2014 11:31|
|Resource URI:||https://kar.kent.ac.uk/id/eprint/17895 (The current URI for this page, for reference purposes)|