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R1STM: one-class support tensor machine with randomised kernel

Erfani, Sarah M, Baktashmotlagh, Mahsa, Rajasegarar, Sutharshan, Nguyen, Vinh, Leckie, Christopher, Bailey, James and Ramamohanarao, Kotagiri 2016, R1STM: one-class support tensor machine with randomised kernel, in SDM 2016 : Proceedings of 2016 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, Philadelphia, Pa., pp. 198-206, doi: 10.1137/1.9781611974348.23.

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Title R1STM: one-class support tensor machine with randomised kernel
Author(s) Erfani, Sarah M
Baktashmotlagh, Mahsa
Rajasegarar, Sutharshan
Nguyen, Vinh
Leckie, Christopher
Bailey, James
Ramamohanarao, Kotagiri
Conference name Society for Industrial and Applied Mathematics. Conference (16th : 2016 : Miami, Florida)
Conference location Miami, Fla.
Conference dates 2016/05/05 - 2016/05/07
Title of proceedings SDM 2016 : Proceedings of 2016 SIAM International Conference on Data Mining
Editor(s) Venkatasubramanian, Sanjay Chawla
Meira, Wagner
Publication date 2016
Series Society for Industrial and Applied Mathematics Conference
Start page 198
End page 206
Total pages 9
Publisher Society for Industrial and Applied Mathematics
Place of publication Philadelphia, Pa.
Keyword(s) Anomaly detection
Tensorial anomaly detection method
One-class Support Tensor Machine (1STM)
Support Vector Machines
Randomised 1STM (R1STM)
ISBN 978-1-61197-434-8
ISSN 2167-0102
2167-0099
Language eng
DOI 10.1137/1.9781611974348.23
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, Society for Industrial and Applied Mathematics
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089643

Document type: Conference Paper
Collection: School of Information Technology
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