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| -rw-r--r-- | biblio/bibliography.bib | 12 | ||||
| -rw-r--r-- | src/python/doc/wasserstein_distance_user.rst | 10 |
2 files changed, 17 insertions, 5 deletions
diff --git a/biblio/bibliography.bib b/biblio/bibliography.bib index a1b951e0..3bbe7960 100644 --- a/biblio/bibliography.bib +++ b/biblio/bibliography.bib @@ -1180,3 +1180,15 @@ language={English} booktitle = {In Neural Information Processing Systems}, year = {2007} } +@inproceedings{10.5555/3327546.3327645, +author = {Lacombe, Th\'{e}o and Cuturi, Marco and Oudot, Steve}, +title = {Large Scale Computation of Means and Clusters for Persistence Diagrams Using Optimal Transport}, +year = {2018}, +publisher = {Curran Associates Inc.}, +address = {Red Hook, NY, USA}, +booktitle = {Proceedings of the 32nd International Conference on Neural Information Processing Systems}, +pages = {9792–9802}, +numpages = {11}, +location = {Montr\'{e}al, Canada}, +series = {NIPS’18} +} diff --git a/src/python/doc/wasserstein_distance_user.rst b/src/python/doc/wasserstein_distance_user.rst index 648cc568..99445b99 100644 --- a/src/python/doc/wasserstein_distance_user.rst +++ b/src/python/doc/wasserstein_distance_user.rst @@ -13,15 +13,15 @@ Functions --------- This implementation uses the Python Optimal Transport library and is based on ideas from "Large Scale Computation of Means and Cluster for Persistence -Diagrams via Optimal Transport". +Diagrams via Optimal Transport" :cite:`10.5555/3327546.3327645`. .. autofunction:: gudhi.wasserstein.wasserstein_distance This other implementation comes from `Hera -<https://bitbucket.org/grey_narn/hera/src/master/>`_ (BSD-3-Clause) and is -based on `"Geometry Helps to Compare Persistence Diagrams." -<http://dx.doi.org/10.1137/1.9781611974317.9>`_ by Michael Kerber, Dmitriy -Morozov, and Arnur Nigmetov, at ALENEX 2016. +<https://bitbucket.org/grey_narn/hera/src/master/>`_ (BSD-3-Clause) which is +based on "Geometry Helps to Compare Persistence Diagrams" +:cite:`Kerber:2017:GHC:3047249.3064175` by Michael Kerber, Dmitriy +Morozov, and Arnur Nigmetov. .. autofunction:: gudhi.hera.wasserstein_distance |