Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. Le, T. & Yamada, M. In NeurIPS, 2018. 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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