• DocumentCode
    3110141
  • Title

    Higher Order Voronoi Diagrams for Concept Boundaries and Tessellations

  • Author

    Lee, Ickjai ; Lee, Kyungmi

  • Author_Institution
    James Cook Univ., Townsville
  • fYear
    2007
  • fDate
    11-13 July 2007
  • Firstpage
    513
  • Lastpage
    518
  • Abstract
    Representing concepts and their boundaries is of great importance in concept learning and formation. We introduce a flexible framework for representing concept boundaries and tessellations through the higher order Voronoi diagrams. The framework provides different levels of concept granularity modelling vagueness and indeterminacy of concept boundaries. The proposed approach robustly supports concept learning and formation.
  • Keywords
    computational geometry; learning (artificial intelligence); Voronoi diagrams; concept boundary; concept formation; concept granularity modelling; concept learning; concept representation; indeterminacy; tessellation; vagueness; Application software; Australia; Bridges; Knowledge representation; Machine learning; Multidimensional systems; Object recognition; Physics; Prototypes; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2007. ICIS 2007. 6th IEEE/ACIS International Conference on
  • Conference_Location
    Melbourne, Qld.
  • Print_ISBN
    0-7695-2841-4
  • Type

    conf

  • DOI
    10.1109/ICIS.2007.106
  • Filename
    4276433