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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.

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Title Face recognition based on ordinal correlation approach
Author(s) Tjahyadi, Ronny
Liu, Wanquan
An, Senjian
Venkatesh, SvethaORCID iD for 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
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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.