ML Anthology

How to Build an Average Model When Samples Are Variably Incomplete? Application to Fossil Data

Jean Dumoncel, Gérard Subsol, Stanley Durrleman, Jean-Pierre Jessel, Amelie Beaudet, José Braga
CVPRW 2016 pp. 541-548
doi:10.1109/CVPRW.2016.74 /cvprw/2016/dumoncel2016cvprw-build/

Abstract

International audience

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Cite

Text

Dumoncel et al. "How to Build an Average Model When Samples Are Variably Incomplete? Application to Fossil Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016. doi:10.1109/CVPRW.2016.74

Markdown

[Dumoncel et al. "How to Build an Average Model When Samples Are Variably Incomplete? Application to Fossil Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016.](https://mlanthology.org/cvprw/2016/dumoncel2016cvprw-build/) doi:10.1109/CVPRW.2016.74

BibTeX

@inproceedings{dumoncel2016cvprw-build,
  title     = {{How to Build an Average Model When Samples Are Variably Incomplete? Application to Fossil Data}},
  author    = {Dumoncel, Jean and Subsol, Gérard and Durrleman, Stanley and Jessel, Jean-Pierre and Beaudet, Amelie and Braga, José},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2016},
  pages     = {541-548},
  doi       = {10.1109/CVPRW.2016.74},
  url       = {https://mlanthology.org/cvprw/2016/dumoncel2016cvprw-build/}
}