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

Tomasz Jannson; Wenjian Wang; Juan Hodelin; Thomas Forrester; Volodymyr Romanov; Andrew Kostrzewski

doi:10.1117/12.2220832

12 May 2016 Hilbertian sine as an absolute measure of Bayesian inference in ISR, homeland security, medicine, and defense

Tomasz Jannson, Wenjian Wang, Juan Hodelin, Thomas Forrester, Volodymyr Romanov, Andrew Kostrzewski

Author Affiliations +

Proceedings Volume 9825, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement Applications XV; 98250L (2016) https://doi.org/10.1117/12.2220832
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

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.

Citation Download Citation

Tomasz Jannson, Wenjian Wang, Juan Hodelin, Thomas Forrester, Volodymyr Romanov, and Andrew Kostrzewski "Hilbertian sine as an absolute measure of Bayesian inference in ISR, homeland security, medicine, and defense", 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); https://doi.org/10.1117/12.2220832

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