A new coupled metric learning for real-time anomalies detection with high-frequency field programmable gate arrays

Jiang, Frank and Luo, Dan 2014, A new coupled metric learning for real-time anomalies detection with high-frequency field programmable gate arrays, in ICDMW 2014 : Proceedings of the IEEE International Conference on Data Mining Workshop, IEEE, Piscataway, N.J., pp. 1254-1261, doi: 10.1109/ICDMW.2014.203.

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Title A new coupled metric learning for real-time anomalies detection with high-frequency field programmable gate arrays
Author(s) Jiang, FrankORCID iD for Jiang, Frank orcid.org/0000-0003-3088-8525
Luo, Dan
Conference name Data Mining Workshop. Conference (2014 : Shenzhen, China)
Conference location Shenzhen, China
Conference dates 14 Dec. 2014
Title of proceedings ICDMW 2014 : Proceedings of the IEEE International Conference on Data Mining Workshop
Publication date 2014
Start page 1254
End page 1261
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Metric Learning
Field Programmable Gate Arrays
Netflow
Intrusion Detection Systems
ISBN 9781479942749
ISSN 2375-9232
2375-9259
Language eng
DOI 10.1109/ICDMW.2014.203
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30135123

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