Discriminative clustering of high-dimensional data using generative modeling Abdi, Masoud, Lim, Chee Peng, Mohamed, Shady, Nahavandi, Saeid, Abbasnejad, Ehsan and Van Den Hengel, Anton 2019, Discriminative clustering of high-dimensional data using generative modeling, in MWSCAS 2018 : Proceedings of the 2018 IEEE 61st International Midwest Symposium on Circuits and Systems, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 799-802, doi: 10.1109/MWSCAS.2018.8623970. Attached Files Name Description MIMEType Size Downloads Title Discriminative clustering of high-dimensional data using generative modeling Author(s) Abdi, Masoud Lim, Chee Peng orcid.org/0000-0003-4191-9083 Mohamed, Shady orcid.org/0000-0002-8851-1635 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Abbasnejad, Ehsan Van Den Hengel, Anton Conference name IEEE Circuits and Systems Society. Conference (61st : 2018 : Windsor, Ont.) Conference location Windsor, Ont. Conference dates 2018/08/05 - 2018/08/08 Title of proceedings MWSCAS 2018 : Proceedings of the 2018 IEEE 61st International Midwest Symposium on Circuits and Systems Editor(s) [Unknown] Publication date 2019 Series IEEE Circuits and Systems Society Conference Start page 799 End page 802 Total pages 4 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Keyword(s) Clustering Unsupervised learning Generative adversarial network Variational autoencoder Deep learning Science & Technology Technology Computer Science, Information Systems Engineering, Electrical & Electronic Computer Science Engineering ISBN 9781538673928 ISSN 1548-3746 Language eng DOI 10.1109/MWSCAS.2018.8623970 HERDC Research category E1 Full written paper - refereed Copyright notice ©2018, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30123387 Document type: Conference Paper Collections: Institute for Frontier Materials GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 27 Jun 2019, 09:59:21 EST Thu, 27 Jun 2019, 15:47:32 EST Fri, 28 Jun 2019, 06:05:42 EST Tue, 02 Jul 2019, 09:02:53 EST Tue, 02 Jul 2019, 09:05:44 EST Tue, 02 Jul 2019, 09:06:48 EST Tue, 02 Jul 2019, 09:07:25 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 230 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 27 Jun 2019, 09:59:21 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.