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27 April 2007 Use of the Borda count for landmine discriminator fusion
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The Borda Count was proposed as a method of ranking candidates by combining the rankings assigned by multiple voters. It has been studied extensively in the context of its original use in political elections and social choice-making. It has recently seen use in machine learning and in ranking web searches, but few of its formal properties have been extensively investigated. In this paper, we describe unsupervised, and (barely) supervised learning systems that employ the Borda Count as their underlying bases. We analyze the strengths and weaknesses of the technique in the context of landmine discrimination. We discuss and evaluate methods for algorithm fusion using several weighted Borda Count approaches and show how they affect algorithm fusion performance.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. N. Wilson and P. D. Gader "Use of the Borda count for landmine discriminator fusion", Proc. SPIE 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII, 655322 (27 April 2007);

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