Face recognition based on ordinal correlation approach Tjahyadi, Ronny, Liu, Wanquan, An, Senjian and Venkatesh, Svetha 2005, Face recognition based on ordinal correlation approach, in Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference, IEEE, Piscataway, N.J., pp. 349-354. Attached Files Name Description MIMEType Size Downloads venkatesh-facerecognition-2005.pdf Published version application/pdf 1.93MB 47 Title Face recognition based on ordinal correlation approach Author(s) Tjahyadi, Ronny Liu, Wanquan An, Senjian Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Conference name Intelligent Sensors, Sensor Networks and Information Processing Conference (2005 : Melbourne, Vic.) Conference location Melbourne, Vic. Conference dates 5- 8 Dec. 2005 Title of proceedings Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference Editor(s) [unknown] Publication date 2005 Conference series Intelligent Sensors, Sensor Networks and Information Processing Conference Start page 349 End page 354 Total pages 6 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) Face recognition Ordinal correlation Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. ISBN 0780393996 9780780393998 Language eng Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2005, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30044622 Document type: Conference Paper Collections: School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) 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. 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. Versions Version Filter Type Fri, 20 Apr 2012, 11:35:56 EST Fri, 27 Apr 2012, 15:38:20 EST Fri, 27 Apr 2012, 15:39:18 EST Thu, 03 May 2012, 12:17:16 EST Tue, 06 Sep 2016, 18:46:27 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 233 Abstract Views, 47 File Downloads  -  Detailed Statistics Created: Fri, 20 Apr 2012, 11:35:56 EST

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