ML Anthology

Robust Fusion of Uncertain Information

Haifeng Chen, Peter Meer
CVPRW 2003 pp. 64
doi:10.1109/CVPRW.2003.10058 /cvprw/2003/chen2003cvprw-robust/

Abstract

A technique is presented to combine n data points, each available with point-dependent uncertainty, when only a subset of these points come from N \ll n sources, where N is unknown. We detect the significant modes of the underlying multivariate probability distribution using a generalization of the nonparametric mean shift procedure. The number of detected modes automatically defiens N, while the appurtenance of a point to the basin of attraction of a mode provides the fusion rule.

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Cite

Text

Chen and Meer. "Robust Fusion of Uncertain Information." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2003. doi:10.1109/CVPRW.2003.10058

Markdown

[Chen and Meer. "Robust Fusion of Uncertain Information." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2003.](https://mlanthology.org/cvprw/2003/chen2003cvprw-robust/) doi:10.1109/CVPRW.2003.10058

BibTeX

@inproceedings{chen2003cvprw-robust,
  title     = {{Robust Fusion of Uncertain Information}},
  author    = {Chen, Haifeng and Meer, Peter},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2003},
  pages     = {64},
  doi       = {10.1109/CVPRW.2003.10058},
  url       = {https://mlanthology.org/cvprw/2003/chen2003cvprw-robust/}
}