Title :
Higher Order Voronoi Diagrams for Concept Boundaries and Tessellations
Author :
Lee, Ickjai ; Lee, Kyungmi
Author_Institution :
James Cook Univ., Townsville
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;
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
DOI :
10.1109/ICIS.2007.106