A Weighted Combination of Classifiers Employing Shared and Distinct Representations

Kittler, Josef; Hojjatoleslami, S. A.

doi:10.1109/CVPR.1998.698715

A Weighted Combination of Classifiers Employing Shared and Distinct Representations

Josef Kittler, S. A. Hojjatoleslami

CVPR 1998 pp. 924-929

doi:10.1109/CVPR.1998.698715 /cvpr/1998/kittler1998cvpr-weighted/

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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Cite

Text

Kittler and Hojjatoleslami. "A Weighted Combination of Classifiers Employing Shared and Distinct Representations." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998. doi:10.1109/CVPR.1998.698715

Markdown

[Kittler and Hojjatoleslami. "A Weighted Combination of Classifiers Employing Shared and Distinct Representations." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998.](https://mlanthology.org/cvpr/1998/kittler1998cvpr-weighted/) doi:10.1109/CVPR.1998.698715

BibTeX

@inproceedings{kittler1998cvpr-weighted,
  title     = {{A Weighted Combination of Classifiers Employing Shared and Distinct Representations}},
  author    = {Kittler, Josef and Hojjatoleslami, S. A.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1998},
  pages     = {924-929},
  doi       = {10.1109/CVPR.1998.698715},
  url       = {https://mlanthology.org/cvpr/1998/kittler1998cvpr-weighted/}
}