DocumentCode :
497696
Title :
Mixed initiative soft data fusion associate
Author :
Belov, Nadya ; Gerken, Peter
Author_Institution :
Lockheed Martin Adv. Technol. Labs., Cherry Hill, NJ, USA
fYear :
2009
fDate :
6-9 July 2009
Firstpage :
1897
Lastpage :
1902
Abstract :
We present a mixed-initiative data fusion associate that incorporates an analyst into a dynamic, soft fusion and decision-making process. We describe how the mixed-initiative associate integrates with two existing Lockheed Martin Advanced Technology Laboratories´ (ATL) systems: a spoken language reporting system and a dynamic human network persistence system, to provide a more accurate human network from the collection of human-generated reports. We provide a scenario demonstrating the use of the mixed-initiative fusion associate.
Keywords :
data acquisition; decision making; military computing; sensor fusion; Lockheed Martin Advanced Technology Laboratories; decision-making process; dynamic human network persistence; human-generated reports; mixed initiative soft data fusion associate; spoken language reporting system; Decision making; Hidden Markov models; Humans; Information analysis; Intelligent networks; Intelligent sensors; Kinetic theory; Laboratories; Natural languages; Robustness; data fusion; mixed-initiative; soft fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2009. FUSION '09. 12th International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-0-9824-4380-4
Type :
conf
Filename :
5203790
Link To Document :
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