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
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.833524
