Efficient tensor based face recognition Rana, Santu, Liu, Wanquan, Lazarescu, Mihai and Venkatesh, Svetha 2008, Efficient tensor based face recognition, in ICPR 2008 : Proceedings of the 2008 19th International Conference on Pattern Recognition, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1-4, doi: 10.1109/ICPR.2008.4761706. Attached Files Name Description MIMEType Size Downloads Title Efficient tensor based face recognition Author(s) Rana, Santu orcid.org/0000-0003-2247-850X Liu, Wanquan Lazarescu, Mihai Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Conference name IEEE Computer Society. Conference (19th : 2008 : Tampa, Florida) Conference location Tampa, Florida Conference dates 2008/12/08 - 2008/12/11 Title of proceedings ICPR 2008 : Proceedings of the 2008 19th International Conference on Pattern Recognition Editor(s) [Unknown] Publication date 2008 Series IEEE Computer Society Conference Start page 1 End page 4 Total pages 4 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Keyword(s) tensile stress face recognition testing computational efficiency image recognition image databases Australia principal component analysis performance evaluation Science & Technology Technology Computer Science, Artificial Intelligence Computer Science image reconstruction ISBN 9781424421756 ISSN 1051-4651 Language eng DOI 10.1109/ICPR.2008.4761706 Indigenous content off Field of Research 089999 Information and Computing Sciences not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30044585 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment Centre for Pattern Recognition and Data Analytics (PRADA) 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 Fri, 20 Apr 2012, 11:33:48 EST Fri, 27 Apr 2012, 10:47:44 EST Fri, 27 Apr 2012, 10:49:00 EST Thu, 03 May 2012, 10:05:05 EST Thu, 03 May 2012, 10:07:01 EST Wed, 06 Aug 2014, 15:27:42 EST Tue, 06 Sep 2016, 18:44:18 EST Thu, 01 Jun 2017, 15:47:46 EST Wed, 06 Dec 2017, 10:39:38 EST Fri, 07 Sep 2018, 17:42:01 EST Tue, 23 Jun 2020, 12:02:37 EST Tue, 23 Jun 2020, 12:05:09 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 647 Abstract Views, 260 File Downloads  -  Detailed Statistics Created: Fri, 20 Apr 2012, 11:33:48 EST

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