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Information fusion using conceptual spaces: Mathematical programming models and methods

  • Michael Holender
  • , Moises Sudit
  • , Rakesh Nagi
  • , J. Terry Rickard
  • SUNY Buffalo
  • Lockheed Martin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this work, we consider a relatively new representation used in cognitive theory to describe how people understand concepts. This representation is called Conceptual Spaces, and is a geometrical way to represent human thought. Our work relates Conceptual Spaces to Data Fusion, first at Level 1, and later to be extended to Level 2 (as defined by JDL [1]). In this paper, we focus on modeling these Conceptual Spaces as a mathematical program. We then discuss uses and methodologies for Conceptual Spaces in the light of Data Fusion.

Original languageEnglish
Title of host publicationFUSION 2007 - 2007 10th International Conference on Information Fusion
DOIs
StatePublished - 2007
EventFUSION 2007 - 2007 10th International Conference on Information Fusion - Quebec, QC, Canada
Duration: Jul 9 2007Jul 12 2007

Publication series

NameFUSION 2007 - 2007 10th International Conference on Information Fusion

Conference

ConferenceFUSION 2007 - 2007 10th International Conference on Information Fusion
Country/TerritoryCanada
CityQuebec, QC
Period07/9/0707/12/07

Keywords

  • Conceptual Spaces
  • Data Fusion
  • Integer program
  • Mathematical program
  • Situational assessment

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