• 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