ML Anthology

A Convex Relaxation Approach for Computing Minimal Partitions

Thomas Pock, Antonin Chambolle, Daniel Cremers, Horst Bischof
CVPR 2009 pp. 810-817
doi:10.1109/CVPR.2009.5206604 /cvpr/2009/pock2009cvpr-convex/
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Text

Pock et al. "A Convex Relaxation Approach for Computing Minimal Partitions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2009. doi:10.1109/CVPR.2009.5206604

Markdown

[Pock et al. "A Convex Relaxation Approach for Computing Minimal Partitions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2009.](https://mlanthology.org/cvpr/2009/pock2009cvpr-convex/) doi:10.1109/CVPR.2009.5206604

BibTeX

@inproceedings{pock2009cvpr-convex,
  title     = {{A Convex Relaxation Approach for Computing Minimal Partitions}},
  author    = {Pock, Thomas and Chambolle, Antonin and Cremers, Daniel and Bischof, Horst},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2009},
  pages     = {810-817},
  doi       = {10.1109/CVPR.2009.5206604},
  url       = {https://mlanthology.org/cvpr/2009/pock2009cvpr-convex/}
}