• DocumentCode
    3395725
  • Title

    What Category Theory Tells Us About Information Fusion

  • Author

    Thorsen, Steven N. ; Oxley, Mark E.

  • Author_Institution
    Dept. of Math. & Stat., Air Force Inst. of Technol., Wright-Patterson AFB, OH
  • fYear
    2006
  • fDate
    10-13 July 2006
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Category theory allows information fusion to be defined properly. Key to the definition of information fusion is the notion of the output under fusion being superior in some way to the output of simple classification systems alone. The definition therefore relies upon the construction of natural transformations suitable to the researcher. This paper discusses the meaning of such constructions
  • Keywords
    sensor fusion; category theory; classification systems; information fusion; natural transformations; Event detection; Force measurement; Mathematics; Object detection; Probability; Q measurement; Sensor phenomena and characterization; Sensor systems; Space technology; Statistics; Tracking; data association; estimation; neural network; resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2006 9th International Conference on
  • Conference_Location
    Florence
  • Print_ISBN
    1-4244-0953-5
  • Electronic_ISBN
    0-9721844-6-5
  • Type

    conf

  • DOI
    10.1109/ICIF.2006.301678
  • Filename
    4085964
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3395725