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Proceedings Paper

Metric to compare and optimize classifiers for multiping mine hunting data
Author(s): Roderick A. Smith
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Paper Abstract

Given detection opportunities, mine hunting relies heavily upon the availability of effective and efficient classification techniques, particularly when trying to hunt mines in cluttered environments. A wide range of classification techniques is currently available. However, given the absence of a widely accepted quantitative measure of classifier performance, the best system for any particular application is not always obvious.

Paper Details

Date Published: 22 August 2000
PDF: 11 pages
Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); doi: 10.1117/12.396258
Show Author Affiliations
Roderick A. Smith, Defence Evaluation and Research Agency Bincleaves (United Kingdom)


Published in SPIE Proceedings Vol. 4038:
Detection and Remediation Technologies for Mines and Minelike Targets V
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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