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Tsallis Mutual Information for Document Classification

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dc.contributor.author Vila Duran, Marius
dc.contributor.author Bardera i Reig, Antoni
dc.contributor.author Feixas Feixas, Miquel
dc.contributor.author Sbert, Mateu
dc.date.issued 2011
dc.identifier.issn 1099-4300
dc.identifier.uri http://hdl.handle.net/10256/10828
dc.description.abstract Mutual information is one of the mostly used measures for evaluating image similarity. In this paper, we investigate the application of three different Tsallis-based generalizations of mutual information to analyze the similarity between scanned documents. These three generalizations derive from the Kullback–Leibler distance, the difference between entropy and conditional entropy, and the Jensen–Tsallis divergence, respectively. In addition, the ratio between these measures and the Tsallis joint entropy is analyzed. The performance of all these measures is studied for different entropic indexes in the context of document classification and registration cat
dc.description.sponsorship This work has been funded in part with Grant Numbers TIN2010-21089-C03-01 from the Spanish Government and 2009-SGR-643 from the Catalan Government.
dc.format.mimetype application/pdf cat
dc.language.iso eng cat
dc.publisher MDPI (Multidisciplinary Digital Publishing Institute) cat
dc.relation MICINN/PN 2011-2013/TIN2010-21089-C03-01
dc.relation AGAUR/2009-2014/2009 SGR-643
dc.relation.isformatof Reproducció digital del document publicat a: http://dx.doi.org/10.3390/e13091694 cat
dc.relation.ispartof Entropy, 2011, vol. 13, p. 1694-1707 cat
dc.relation.ispartofseries Articles publicats (D-IMA) cat
dc.rights Attribution 3.0 Spain *
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/ *
dc.subject Informació, Teoria de la cat
dc.subject Information theory cat
dc.subject Classificació cat
dc.subject Classification cat
dc.title Tsallis Mutual Information for Document Classification cat
dc.type info:eu-repo/semantics/article cat
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.embargo.terms Cap cat
dc.type.version info:eu-repo/semantics/publishedVersion cat
dc.identifier.doi http://dx.doi.org/10.3390/e13091694
dc.contributor.funder Ministerio de Ciencia e Innovación (Espanya)
dc.contributor.funder Generalitat de Catalunya. Agència de Gestió d'Ajuts Universitaris i de Recerca


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Drets: Attribution 3.0 Spain

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