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EnglishThis 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.
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| Titolo: | Analysis of Membership Functions for Voronoi-based Classification | |
| Autori: | ||
| Data di pubblicazione: | 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. | |
| Handle: | http://hdl.handle.net/11586/136868 | |
| ISBN: | 978-0-7695-4221-8 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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