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Novel Approaches to Optimised Self-Configuration in High Performance Multiple Expert Classifiers

Rahman, Ahmad Fuad Rezaur, Fairhurst, Michael, Hoque, Sanaul Novel Approaches to Optimised Self-Configuration in High Performance Multiple Expert Classifiers. In: Proc. 8th Int. Workshop on Frontiers in Handwriting Recognition (IWFHR-8), Niagara-on-the-Lake, Ontario, Canada. . pp. 189-194. (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)
Item Type: Conference or workshop item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications) > TK7880 Applications of electronics (inc industrial & domestic) > TK7882.P3 Pattern Recognition
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Yiqing Liang
Date Deposited: 29 Jun 2011 13:47 UTC
Last Modified: 01 Aug 2019 10:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/7326 (The current URI for this page, for reference purposes)
Hoque, Sanaul: https://orcid.org/0000-0001-8627-3429
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