Kittler, Josef and Hojjatoleslami, Ali (1998) A weighted Combination of Classifiers Employing Shared and Distinct Representation. In: 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE. ISBN 0-8186-8497-6. (doi:10.1109/CVPR.1998.698715) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:27749)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: https://doi.org/10.1109/CVPR.1998.698715 |
Abstract
This paper presents a theoretical framework for the combination of soft decisions generated by experts employing mixed (some shared and some distinct) object representations. By taking the confidence of the individuals experts into account, weighted benevolent fusion strategies are derived. This provides a basis for combining classifiers and illustrates that a substantial gain in performance can be achieved by using the opinions of multiple experts. These strategies are experimentally tested and their effectiveness is considered
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