Dynamic score combination of binary experts

The combination of experts is used to improve the performance of a classification system. In this paper we propose three dynamic score combination techniques that embed the selection and the fusion approach for combining experts. The proposed techniques are designed to combine binary experts that output a score measuring the degree of similarity to the positive class. Reported results on two biometric dataset show the effectiveness of the proposed techniques in terms of AUC and EER.