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A weighted Combination of Classifiers Employing Shared and Distinct Representation

Kittler, Josef and Hojjatoleslami, Ali (1998) A weighted Combination of Classifiers Employing Shared and Distinct Representation. In: 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE. ISBN 0-8186-8497-6. (doi:10.1109/CVPR.1998.698715) (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:27749)

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
https://doi.org/10.1109/CVPR.1998.698715

Abstract

This paper presents a theoretical framework for the combination of soft decisions generated by experts employing mixed (some shared and some distinct) object representations. By taking the confidence of the individuals experts into account, weighted benevolent fusion strategies are derived. This provides a basis for combining classifiers and illustrates that a substantial gain in performance can be achieved by using the opinions of multiple experts. These strategies are experimentally tested and their effectiveness is considered

Item Type: Book section
DOI/Identification number: 10.1109/CVPR.1998.698715
Uncontrolled keywords: speech processing; signal processing; fusion power generation; signal generators; performance gain; testing; error probability; pattern recognition; error analysis; Bayesian methods
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Q Science > QA Mathematics (inc Computing science) > QA165 Combinatorics
Q Science > QA Mathematics (inc Computing science) > QA297 Numerical analysis
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: S.A. Hojjatoleslami
Date Deposited: 19 May 2011 10:24 UTC
Last Modified: 16 Nov 2021 10:06 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/27749 (The current URI for this page, for reference purposes)
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