A theoretical study on six classifier fusion strategies

Top Cited Papers

7 August 2002

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 24 (2) , 281-286
https://doi.org/10.1109/34.982906

Abstract

We look at a single point in feature space, two classes, and L classifiers estimating the posterior probability for class /spl omega//sub 1/. Assuming that the estimates are independent and identically distributed (normal or uniform), we give formulas for the classification error for the following fusion methods: average, minimum, maximum, median, majority vote, and oracle.

Keywords

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