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CLA
2006

Towards an Iterative Classification Based on Concept Lattice

10 years 5 months ago
Towards an Iterative Classification Based on Concept Lattice
In this paper, we propose a generic description of the concept lattice as classifier in an iterative recognition process. We also present the development of a new structural signature adapted to noise context. The experimentation is realized on the noised symbols of GREC database [4]. Our experimentation presents a comparison with the two classical numerical classifiers that are the bayesian classifier and the nearest neighbors classifier and some comparison elements for an iterative process.
Stéphanie Guillas, Karell Bertet, Jean-Marc
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where CLA
Authors Stéphanie Guillas, Karell Bertet, Jean-Marc Ogier
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