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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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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. doi:10.1007/978-3-642-02172-5_61

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/44043

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Title: Score Fusion by Maximizing the Area under the ROC Curve
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica
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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 ...[+]
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-642-02171-8
Source:
Pattern Recognition and Image Analysis: 4th Iberian Conference, IbPRIA 2009 Póvoa de Varzim, Portugal, June 10-12, 2009 Proceedings. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-02172-5_61
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/chapter/10.1007/978-3-642-02172-5_61
Series: Lecture Notes in Computer Science;5524
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-02172-5_61
Type: Capítulo de libro

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