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
Link To Document :
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