Conference Paper

Combination of Experts by Classifiers in Similarity Score Spaces

DOI: 10.1007/978-3-540-89689-0_86 Conference: Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings
Source: DBLP


The combination of different experts is largely used to improve the performance of a pattern recognition system. In the case of experts whose output is a similarity score, different methods had been developed. In this paper, the combination is performed by building a similarity score space made up of the scores produced by the experts, and training a classifier into it. Different techniques based on the use of classifiers trained on the similarity score space are proposed and compared. In particular, they are used in the framework of Dynamic Score Selection mechanisms, recently proposed by the authors. Reported results on two biometric datasets show the effectiveness of the proposed approach.

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    • "Moreover, part of the AmILAB's work is focused on research activities made in collaboration with the Pattern Recognition and Applications group of the University of Cagliari 4 . From this collaboration 8 papers were published so far: 3 on dynamic combination for biometric authentication [23] [24] [14], 2 on face spoofing over a biometric authentication system [4] [26], and 3 on content based image retrieval [27] [28] [22]. "

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