Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method
TRONCI, ROBERTO;GIACINTO, GIORGIO;ROLI, FABIO
2009-01-01
Abstract
In two-class score-based problems the combination of scores from an ensemble of experts is generally used to obtain distributions for positive and negative patterns that exhibit a larger degree of separation than those of the scores to be combined. Typically, combination is carried out by a “static” linear combination of scores, where the weights are computed by maximising a performance function. These weights are equal for all the patterns, as they are assigned to each of the expert to be combined. In this paper we propose a “dynamic” formulation where the weights are computed individually for each pattern. Reported results on a biometric dataset show the effectiveness of the proposed combination methodology with respect to “static” linear combinations and trained combination rules.Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.