DocumentCode
1856100
Title
Graph-theoretic networks for holistic information fusion
Author
Malhotra, Raj P. ; Yufik, Yan M.
Author_Institution
Air Force Res. Lab., Wright-Patterson AFB, OH, USA
Volume
4
fYear
1999
fDate
1999
Firstpage
2796
Abstract
We discuss virtual associative networks (VAN) and their relevance for addressing computationally prohibitive information fusion problems (with results in dynamic sensor management). To our knowledge, this discussion of VAN technology for sensor fusion is unique and our current result involving VAN for dynamic sensor management is the first of its kind. The following provides methodology, results, and extensions
Keywords
content-addressable storage; graph theory; neural nets; sensor fusion; VAN; computationally prohibitive information fusion problems; dynamic sensor management; graph-theoretic networks; holistic information fusion; sensor fusion; virtual associative networks; Force sensors; Humans; Intelligent sensors; Medical diagnostic imaging; Resource management; Robustness; Sensor fusion; Solid modeling; Target recognition; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.833524
Filename
833524
Link To Document