Averaging methods using dynamic time warping for time series classification

Datta, Shreyasi, Karmakar, Chandan K and Palaniswami, Marimuthu 2020, Averaging methods using dynamic time warping for time series classification, in SSCI 2020 : Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 2794-2798, doi: 10.1109/SSCI47803.2020.9308409.

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Title Averaging methods using dynamic time warping for time series classification
Author(s) Datta, Shreyasi
Karmakar, Chandan KORCID iD for Karmakar, Chandan K orcid.org/0000-0003-1814-0856
Palaniswami, Marimuthu
Conference name IEEE Computational Intelligence Society. Symposium (2020 : Online from Canberra, Australia)
Conference location Online from Canberra, Australia
Conference dates 2020/12/01 - 2020/12/04
Title of proceedings SSCI 2020 : Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence
Editor(s) [Unknown]
Publication date 2020
Series IEEE Computational Intelligence Society Symposium
Start page 2794
End page 2798
Total pages 5
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Dynamic Time Warping
DTW Barycenter Averaging
time series classification
recursive tree
Notes This conference was originally scheduled to be held in Canberra, Australia, however due to the 2020 COVID Pandemic, the event was held online.
ISBN 9781728125473
Language eng
DOI 10.1109/SSCI47803.2020.9308409
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30147648

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