A mathematical framework to optimize ATR systems with non-declarations and sensor fusion

DOI10.1016/j.cor.2006.09.012zbMath1139.90438OpenAlexW2086897653MaRDI QIDQ2462527

Trevor I. Laine, Kenneth W. jun. Bauer

Publication date: 30 November 2007

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2006.09.012

zbMATH Keywords

rejectionreceiver operating characteristic (ROC) curveclassifier performanceautomatic target recognition (ATR)combat identification (CID)mixed variable optimizationsensor Fusion

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Mathematical programming (90C99)

Uses Software

• HandTill2001

Cites Work

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• Pattern Search Algorithms for Mixed Variable Programming
• An investigation of the effects of correlation and autocorrelation on classifier fusion and optimal classifier ensembles
• Statistical Properties of Error Estimators in Performance Assessment of Recognition Systems
• Combining Pattern Classifiers
• On optimum recognition error and reject tradeoff
• A simple generalisation of the area under the ROC curve for multiple class classification problems

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