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Proceedings Paper

Some applications of conditional events and random sets for image estimation and system modeling
Author(s): Patrick A. Kelly; Haluk Derin; Weibo Gong
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Paper Abstract

Recent advances in conditional event algebra and random set modeling hold the promise of enabling a systematic and consistent approach to information fusion in the context of statistical signal processing. In this paper we consider three potential applications of this approach: (1) iterated image estimation; (2) prior models for medical image reconstruction; and (3) knowledge-aided modeling of complex systems.

Paper Details

Date Published: 27 July 1999
PDF: 11 pages
Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); doi: 10.1117/12.357158
Show Author Affiliations
Patrick A. Kelly, Univ. of Massachusetts/Amherst (United States)
Haluk Derin, Univ. of Massachusetts/Amherst (United States)
Weibo Gong, Univ. of Massachusetts/Amherst (United States)


Published in SPIE Proceedings Vol. 3720:
Signal Processing, Sensor Fusion, and Target Recognition VIII
Ivan Kadar, Editor(s)

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