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Proceedings Paper

Hilbertian sine as an absolute measure of Bayesian inference in ISR, homeland security, medicine, and defense
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Paper Abstract

In this paper, Bayesian Binary Sensing (BBS) is discussed as an effective tool for Bayesian Inference (BI) evaluation in interdisciplinary areas such as ISR (and, C3I), Homeland Security, QC, medicine, defense, and many others. In particular, Hilbertian Sine (HS) as an absolute measure of BI, is introduced, while avoiding relativity of decision threshold identification, as in the case of traditional measures of BI, related to false positives and false negatives.

Paper Details

Date Published: 12 May 2016
PDF: 8 pages
Proc. SPIE 9825, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement Applications XV, 98250L (12 May 2016); doi: 10.1117/12.2220832
Show Author Affiliations
Tomasz Jannson, Physical Optics Corp. (United States)
Wenjian Wang, Physical Optics Corp. (United States)
Juan Hodelin, Physical Optics Corp. (United States)
Thomas Forrester, Physical Optics Corp. (United States)
Volodymyr Romanov, Physical Optics Corp. (United States)
Andrew Kostrzewski, Physical Optics Corp. (United States)


Published in SPIE Proceedings Vol. 9825:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement Applications XV
Edward M. Carapezza, Editor(s)

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