Least-squares regression with unitary constraints for network behaviour classification

Robles-Kelly, Antonio 2016, Least-squares regression with unitary constraints for network behaviour classification, in S+SSPR 2016 : Proceedings of the Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016), Springer, Cham, Switzerland, pp. 26-36, doi: 10.1007/978-3-319-49055-7_3.

Attached Files
Name Description MIMEType Size Downloads

Title Least-squares regression with unitary constraints for network behaviour classification
Author(s) Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Conference name International Association of Pattern Recognition. Conference (2016 : Mérida, Mexico)
Conference location Mérida, Mexico
Conference dates 2016/11/29 - 2016/12/02
Title of proceedings S+SSPR 2016 : Proceedings of the Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016)
Editor(s) Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Loog, Marco
Biggio, Battista
Escolano, Francisco
Wilson, Richard
Publication date 2016
Series International Association of Pattern Recognition Conference
Start page 26
End page 36
Total pages 11
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Support Vector Machine
Radial Basis Function
Linear Discriminant Analysis
Network Behaviour
Attack Detection
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Theory & Methods
Computer Science
ISBN 978-3-319-49055-7
Language eng
DOI 10.1007/978-3-319-49055-7_3
Field of Research 08 Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2016, Springer International Publishing AG
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121413

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 35 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Wed, 08 May 2019, 11:23:42 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.