Selective partition algorithm for finding regions of maximum pairwise dissimilarity among statistical class models

Rahman, Ahmad Fuad Rezaur, Fairhurst, Michael (1997) Selective partition algorithm for finding regions of maximum pairwise dissimilarity among statistical class models. Pattern Recognition Letters, 18 (7). pp. 605-611. ISSN 0167-8655. (doi:10.1016/S0167-8655(97)00047-0) (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) (KAR id:17891)

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.
Official URL: http://dx.doi.org/10.1016/S0167-8655(97)00047-0

Abstract

A technique for finding areas of maximum dissimilarity between the statistical models of two closely resembling classes is introduced. It is shown that this technique combines statistical and syntactic recognition techniques by extracting features from structurally distinctive regions of the models and is applicable in a variety of image classification and recognition tasks.

Item Type:	Article
DOI/Identification number:	10.1016/S0167-8655(97)00047-0
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	T.J. Sango
Date Deposited:	21 May 2009 09:08 UTC
Last Modified:	05 Nov 2024 09:53 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/17891 (The current URI for this page, for reference purposes)

University of Kent Author Information

Fairhurst, Michael.

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