Classifying Glyphs : Combining Evolution and Learning

This dissertation investigates the classification capabilities of artificial neural networks (ANNs). The goal is to generalize over the features of a writing system, and thus classify the writing system of a previously unseen glyph. The complexity of the problem necessitates a large network, which h...

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Bibliographic Details
Main Author: Rødland, Tiril Anette Langfeldt
Format: Others
Language:English
Published: Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap 2011
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13631