An Incremental von Mises Mixture Framework for Modelling Human Activity Streaming Data

Chinellato, E, Mardia, KV, Hogg, DC orcid.org/0000-0002-6125-9564 et al. (1 more author) (2017) An Incremental von Mises Mixture Framework for Modelling Human Activity Streaming Data. In: Valenzuela, O, Rojas, F, Pomares, H and Rojas, I, (eds.) Proceedings ITISE 2017. International Work-Conference on Time Series Analysis (ITISE 2017), 18-20 Sep 2017, Grenada, Spain. , pp. 379-389. ISBN 978-84-17293-01-7

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Authors/Creators:
Dates:
  • Published: 11 October 2017
  • Accepted: 14 July 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EU - European UnionFP7-ICT-600623
Depositing User: Symplectic Publications
Date Deposited: 14 Aug 2017 11:05
Last Modified: 10 Jul 2019 15:03
Published Version: http://itise.ugr.es/2017/previous.php
Status: Published

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