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Fusion of Scores in a Detection Context Based on Alpha Integration

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Fusion of Scores in a Detection Context Based on Alpha Integration

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Soriano Tolosa, A.; Vergara Domínguez, L.; Ahmed, B.; Salazar Afanador, A. (2015). Fusion of Scores in a Detection Context Based on Alpha Integration. Neural Computation. 27(9):1983-2010. doi:10.1162/NECO_a_00766

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/65713

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Title: Fusion of Scores in a Detection Context Based on Alpha Integration
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Issued date:
Abstract:
We present a new method for fusing scores corresponding to different detectors (two hypotheses case). It is based on alpha integration, which we have adapted to the detection context. Three optimization methods are presented: ...[+]
Subjects: Fusion , Alpha integration , Detection , ROC
Copyrigths: Reserva de todos los derechos
Source:
Neural Computation. (issn: 0899-7667 )
DOI: 10.1162/NECO_a_00766
Publisher:
Massachusetts Institute of Technology Press (MIT Press): STM Titles
Publisher version: http://dx.doi.org/10.1162/NECO_a_00766
Thanks:
This work has been supported by Generalitat Valenciana under grants PROMETEOII 2014-032, ISIC2012-006 and by Spanish administration under grant TEC2014-58438-R.
Type: Artículo

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