Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. Le, T. & Yamada, M. In NeurIPS, 2018.
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams [link]Paper  bibtex   
@inproceedings{DBLP:conf/nips/LeY18,
  author    = {Tam Le and
               Makoto Yamada},
  title     = {Persistence Fisher Kernel: {A} Riemannian Manifold Kernel for Persistence
               Diagrams},
  booktitle = {NeurIPS},
  year      = {2018},
  url       = {https://proceedings.neurips.cc/paper/2018/hash/959ab9a0695c467e7caf75431a872e5c-Abstract.html},
  timestamp = {Mon, 16 May 2022 15:41:51 +0200},
  biburl    = {https://dblp.org/rec/conf/nips/LeY18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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