Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maxime Soler"'
Autor:
Adhitya Kamakshidasan, Lutz Hofmann, Christopher P. Kappe, Michal Wozniak, Pavol Klacansky, Will Usher, Patrick Laurin, Pierre Guillou, Daisuke Sakurai, Maxime Soler, Talha Bin Masood, Charles Gueunet, Joseph Budin, Petar Hristov, Julien Tierny, Guillaume Favelier, Joshua A. Levine, Jonas Lukasczyk, Jules Vidal, Christoph Garth, Peter Steneteg, Martin Falk
Publikováno v:
TopoInVis 2019-Topological Methods in Data Analysis and Visualization
TopoInVis 2019-Topological Methods in Data Analysis and Visualization, Jun 2019, Nykoping, Sweden
Mathematics and Visualization ISBN: 9783030834999
TopoInVis 2019-Topological Methods in Data Analysis and Visualization, Jun 2019, Nykoping, Sweden
Mathematics and Visualization ISBN: 9783030834999
This software paper gives an overview of the features supported by the Topology ToolKitTopology ToolKit (TTK), which is an  Open-sourceopen-source library for  Topological data analysistopological data analysis (TDA). TTK implements, in a gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90a7ed8f76e824bab7d2328765498407
https://hal.archives-ouvertes.fr/hal-02159838v3/file/paper.pdf
https://hal.archives-ouvertes.fr/hal-02159838v3/file/paper.pdf
Publikováno v:
IEEE Symposium on Large Data Analysis and Visualization
IEEE Symposium on Large Data Analysis and Visualization, Oct 2018, Berlin, Germany
LDAV
IEEE Symposium on Large Data Analysis and Visualization, Oct 2018, Berlin, Germany
LDAV
International audience; This paper presents a robust and efficient method for tracking topological features in time-varying scalar data. Structures are tracked based on the optimal matching between persistence diagrams with respect to the Wasserstein
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::183d9abdd4024844a3c01a5f22664d99
https://hal.archives-ouvertes.fr/hal-01857913v2/file/template.pdf
https://hal.archives-ouvertes.fr/hal-01857913v2/file/template.pdf
Publikováno v:
PacificVis
IEEE Pacific Conference on Visualisation
IEEE Pacific Conference on Visualisation, Apr 2018, Kobe, Japan. pp.46-55, ⟨10.1109/PacificVis.2018.00015⟩
IEEE Pacific Conference on Visualisation
IEEE Pacific Conference on Visualisation, Apr 2018, Kobe, Japan. pp.46-55, ⟨10.1109/PacificVis.2018.00015⟩
International audience; This paper presents a new algorithm for the lossy compression of scalar data defined on 2D or 3D regular grids, with topological control. Certain techniques allow users to control the pointwise error induced by the compression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::027d8dab52eb09d37fe574bc8f634dfe
https://doi.org/10.1109/pacificvis.2018.00015
https://doi.org/10.1109/pacificvis.2018.00015
Autor:
Mélanie Plainchault, Julien Tierny, Gilles Darche, Martin Petitfrere, Maxime Soler, Bruno Conche
Publikováno v:
2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV)
LDAV
IEEE Symposium on Large Data Analysis and Visualization
IEEE Symposium on Large Data Analysis and Visualization, Oct 2019, Vancouver, Canada
LDAV
IEEE Symposium on Large Data Analysis and Visualization
IEEE Symposium on Large Data Analysis and Visualization, Oct 2019, Vancouver, Canada
International audience; This application paper presents a novel framework based on topological data analysis for the automatic evaluation and ranking of viscous finger simulation runs in an ensemble with respect to a reference acquisition. Individual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cb1eeb1ac0b6a91d8b9a5078f8113da