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While becoming more and more present in our every day lives, services that operate on users' locations or location trajectories suffer from general fear of misappropriation of the transmitted location data. Several works have investigated of how to c
Externí odkaz:
http://arxiv.org/abs/1804.09933
Autor:
Schubotz, René1 (AUTHOR) rene.schubotz@dfki.de, Spieldenner, Torsten1,2 (AUTHOR) rene.schubotz@dfki.de, Chelli, Melvin1 (AUTHOR) rene.schubotz@dfki.de
Publikováno v:
Mathematics (2227-7390). Apr2022, Vol. 10 Issue 7, p1041-1041. 21p.
Akademický článek
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Autor:
Herrmann, Erik, Du, Han, Antakli, André, Rubinstein, Dmitri, Schubotz, René, Sprenger, Janis, Hosseini, Somayeh, Cheema, Noshaba, Zinnikus, Ingo, Manns, Martin, Fischer, Klaus, Slusallek, Philipp
Machine learning based motion modelling methods such as statistical modelling require a large amount of input data. In practice, the management of the data can become a problem in itself for artists who want to control the quality of the motion model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3f4bd82ea5cd37e644c159635325892
Autor:
Klusch, Matthias, Schubotz, René
Publikováno v:
Proceedings of the 6th International Joint Conference: Autonomous Agents & Multiagent Systems; 5/14/2007, p1-3, 3p