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Alexandre KABIL
12 octobre 2020
Online TTK Tutorial @ IEEE VIS 2020

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Online TTK Tutorial @ IEEE VIS 2020

Please join us online on October 26 for a half day tutorial on Topological Data Analysis with the open-source library "the Topology ToolKit" (TTK, https://topology-tool-kit.github.io/), organized in the context of the IEEE VIS 2020 tutorials (http://ieeevis.org/year/2020/info/tutorials).

Note that, given the global COVID-19 situation, IEEE VIS 2020 will be an **online event**, free to attend for anyone (**free registration**: http://ieeevis.org/year/2020/info/registration/conference-registration).

The TTK tutorial will be a mixture of overview presentations and hands-on sessions, with live discussions on IEEE VIS 2020's Discord server and Youtube channel. See the full schedule on the tutorial webpage:

https://topology-tool-kit.github.io/ieeeVis2020Tutorial.html

All the videos (and live discussions) of the online tutorial will be available on the tutorial webpage after the event:

https://topology-tool-kit.github.io/ieeeVis2020Tutorial.html

If you consider attending our tutorial, we kindly ask you to pre-register at the following address, such that we can reach out to you ahead of the tutorial with information updates:

https://forms.gle/CvrY3oWZB9hWSQJb9

In order to follow the hands-on sessions, please install TTK *before the tutorial*. We provide several installation alternatives:

1) Installation from source (~ 1 hour)

2) Ubuntu binary packages

3) Fully pre-installed Virtualbox image

4) Docker image

5) Anaconda package (python API support only)

Please checkout the tutorial webpage for links to download the above material: https://topology-tool-kit.github.io/ieeeVis2020Tutorial.html

Please feel free to contact the user mailing list (ttk-users@googlegroups.com) if you encounter any issue.

We're looking forward to seeing you at the IEEE VIS 2020 TTK Tutorial!

Martin Falk, Linkoping University

Christoph Garth, TU Kaiserslautern

Charles Gueunet, Kitware

Pierre Guillou, Sorbonne Universite

Attila Gyulassy, University of Utah

Lutz Hofmann, Heidelberg University

Christopher Kappe, TU Kaiserslautern

Joshua A. Levine, University of Arizona

Jonas Lukasczyk, Arizona State University

Julien Tierny, CNRS, Sorbonne Universite

Jules Vidal, Sorbonne Universite

--

Dr Julien Tierny

CNRS Researcher

Sorbonne Universite

http://lip6.fr/Julien.Tierny

Découvrez davantage d'articles sur ces thèmes :
Recherche Technologies immersives Informatique Graphique
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