@inproceedings{carriereSlicedWassersteinKernel2017,
  langid = {english},
  title = {Sliced {{Wasserstein Kernel}} for {{Persistence Diagrams}}},
  url = {http://proceedings.mlr.press/v70/carriere17a.html},
  abstract = {Persistence diagrams (PDs) play a key role in topological data analysis (TDA), in which they are routinely used to describe succinctly complex topological properties of complicated shapes. PDs enjo...},
  eventtitle = {International {{Conference}} on {{Machine Learning}}},
  booktitle = {International {{Conference}} on {{Machine Learning}}},
  urldate = {2018-06-20},
  date = {2017-07-17},
  pages = {664-673},
  author = {Carrière, Mathieu and Cuturi, Marco and Oudot, Steve},
  file = {/home/dimitri/Nextcloud/Zotero/storage/7FZZJDKP/Carrière et al. - 2017 - Sliced Wasserstein Kernel for Persistence Diagrams.pdf;/home/dimitri/Nextcloud/Zotero/storage/NWMEA95P/Carrière et al. - 2017 - Sliced Wasserstein Kernel for Persistence Diagrams.pdf;/home/dimitri/Nextcloud/Zotero/storage/VDXI2J8D/carriere17a.html}
}

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