This paper addresses the problem of membership function selection for zoning-based classification. Different types of membership functions are considered based on abstract-level, ranked-level and measurement-level models and their effectiveness is estimated under different Voronoi-based zoning methods. The experimental tests, carried out in the field of hand-written numeral recognition, show that the best results are obtained when measurement-level models based on exponential models are used as membership functions.

Analysis of Membership Functions for Voronoi-based Classification

IMPEDOVO, Sebastiano;PIRLO, Giuseppe
2010

Abstract

This paper addresses the problem of membership function selection for zoning-based classification. Different types of membership functions are considered based on abstract-level, ranked-level and measurement-level models and their effectiveness is estimated under different Voronoi-based zoning methods. The experimental tests, carried out in the field of hand-written numeral recognition, show that the best results are obtained when measurement-level models based on exponential models are used as membership functions.
978-0-7695-4221-8
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11586/136868
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