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Taking advantage of misclassifications to boost classification rate in decision fusion

Goebel, Kai and Mysore, Shreesh P. (2001) Taking advantage of misclassifications to boost classification rate in decision fusion. In: Sensor Fusion: Architectures, Algorithms, and Applications V. Proceedings of SPIE. No.4385. Society of Photo-optical Instrumentation Engineers (SPIE) , Bellingham, WA, pp. 11-20. ISBN 9780819440808. https://resolver.caltech.edu/CaltechAUTHORS:20181213-143626024

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Abstract

This paper presents methods to boost the classification rate in decision fusion with partially redundant information. This is accomplished by utilizing the information of known mis- classifications of certain classes to systematically modify class output. For example,, if it is known beforehand that tool A mis- classifies class 1 as often as class 2, then it appears to be prudent to integrate that information into the reasoning process if class 1 is indicated by tool B and class 2 is observed by tool A. Particularly this preferred mis-classification information is contained in the asymmetric (cross-correlation) entries of the confusion matrix. An operation we call cross-correlation is performed where this information is explicitly used to modify class output before the first fused estimate is calculated. We investigate several methods for cross-correlation and discuss the advantages and disadvantages of each. We then apply the concepts introduced to the diagnostic realm where we aggregate the output of several different diagnostic tools. We show how the proposed approach fits into an information fusion architecture and finally present results motivated from diagnosing on-board faults in aircraft engines.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1117/12.421103DOIArticle
Additional Information:© 2001 Society of Photo-Optical Instrumentation Engineers (SPIE). This research was in part supported by DARPA project MDA 972-98-3-0002. The authors also greatfully acknowledge the comments of Malcolm Ashby, Kiyoung Chung, Vivek Badami, Michael Krok, and Hunt Sutherland.
Funders:
Funding AgencyGrant Number
Defense Advanced Research Projects Agency (DARPA)MDA 972-98-3-0002
Subject Keywords:Classification; Diagnostics; Information Fusion; Decision Fusion; Correlation; Cross-Correlation
Series Name:Proceedings of SPIE
Issue or Number:4385
Record Number:CaltechAUTHORS:20181213-143626024
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20181213-143626024
Official Citation:Kai Goebel, Shreesh P. Mysore, "Taking advantage of misclassifications to boost classification rate in decision fusion," Proc. SPIE 4385, Sensor Fusion: Architectures, Algorithms, and Applications V, (22 March 2001); doi: 10.1117/12.421103
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:91772
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:20 Dec 2018 18:50
Last Modified:03 Oct 2019 20:38

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