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Proceedings Paper

Deep learning in AI and information fusion panel discussion
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Paper Abstract

During the 2018 SPIE DSS conference, panelists were invited to highlight the trends and use of artificial intelligence and deep learning (AI/DL) for information fusion. This paper highlights the common issues presented from the panel discussion. The key issues include: leveraging AI/DL coordinated with information fusion for: (1) knowledge reasoning and reasoning, (2) information fusion enhancement, (3) object recognition and tracking, (4) data with models fusion, and (5) deep multimodal fusion cognition strategies to support the user.

Paper Details

Date Published: 7 May 2019
PDF: 13 pages
Proc. SPIE 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, 110180Q (7 May 2019); doi: 10.1117/12.2519230
Show Author Affiliations
Erik Blasch, Air Force Research Lab. (United States)
Ivan Kadar, Interlink Systems Sciences, Inc. (United States)
Lynne L. Grewe, California State Univ., East Bay (United States)
Garrett Stevenson, California State Univ., East Bay (United States)
Uttam K. Majumder, Air Force Research Lab. (United States)
Chee-Yee Chong, Independent Consultant (United States)


Published in SPIE Proceedings Vol. 11018:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII
Ivan Kadar; Erik P. Blasch; Lynne L. Grewe, Editor(s)

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