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Score Fusion by Maximizing the Area under the ROC Curve

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Score Fusion by Maximizing the Area under the ROC Curve

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dc.contributor.author Villegas Santamaría, Mauricio es_ES
dc.contributor.author Paredes Palacios, Roberto es_ES
dc.date.accessioned 2014-11-11T12:43:12Z
dc.date.available 2014-11-11T12:43:12Z
dc.date.issued 2009
dc.identifier.isbn 978-3-642-02171-8
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/44043
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-02172-5_61 es_ES
dc.description.abstract Information fusion is currently a very active research topic aimed at improving the performance of biometric systems. This paper proposes a novel method for optimizing the parameters of a score fusion model based on maximizing an index related to the Area Under the ROC Curve. This approach has the convenience that the fusion parameters are learned without having to specify the client and impostor priors or the costs for the different errors. Empirical results on several datasets show the effectiveness of the proposed approach. es_ES
dc.description.sponsorship Work supported by the Spanish projects DPI2006-15542-C04 and TIN2008-04571 and the Generalitat Valenciana - Consellería d’Educació under an FPI scholarship. es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Pattern Recognition and Image Analysis: 4th Iberian Conference, IbPRIA 2009 Póvoa de Varzim, Portugal, June 10-12, 2009 Proceedings es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;5524
dc.rights Reserva de todos los derechos es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Score Fusion by Maximizing the Area under the ROC Curve es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-642-02172-5_61
dc.relation.projectID info:eu-repo/grantAgreement/MEC//DPI2006-15542-C04-02/ES/APLICACION INDUSTRIAL DE TECNICAS AVANZADAS DE RECONOCIMIENTO DE FORMAS Y VISION ARTIFICIAL/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2008-04571/ES/RISE: RELEVANCE IMAGE SEARCH ENGINE/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica es_ES
dc.description.bibliographicCitation Villegas Santamaría, M.; Paredes Palacios, R. (2009). Score Fusion by Maximizing the Area under the ROC Curve. En Pattern Recognition and Image Analysis: 4th Iberian Conference, IbPRIA 2009 Póvoa de Varzim, Portugal, June 10-12, 2009 Proceedings. Springer Verlag (Germany). 473-480. https://doi.org/10.1007/978-3-642-02172-5_61 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-642-02172-5_61 es_ES
dc.description.upvformatpinicio 473 es_ES
dc.description.upvformatpfin 480 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 36642
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Ministerio de Educación y Ciencia es_ES
dc.description.references Toh, K.A., Kim, J., Lee, S.: Biometric scores fusion based on total error rate minimization. Pattern Recognition 41(3), 1066–1082 (2008) es_ES
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dc.description.references National Institute of Standards and Technology: NIST Biometric Scores Set - Release 1 (BSSR1) (2004), http://www.itl.nist.gov/iad/894.03/biometricscores/ es_ES
dc.description.references Bengio, S., Mariéthoz, J., Keller, M.: The expected performance curve. In: Proceedings of the Second Workshop on ROC Analysis in ML, pp. 9–16 (2005) es_ES


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