Automatic parameter selection for Eigenfaces Tjahyadi, Ronny, Liu, Wanquan and Venkatesh, Svetha 2004, Automatic parameter selection for Eigenfaces, in ICOTA 2004 : 6th International Conference on Optimization : Techniques and Applications, [University of Ballarat], [Ballarat, Vic.], pp. 1-10. Attached Files Name Description MIMEType Size Downloads Title Automatic parameter selection for Eigenfaces Author(s) Tjahyadi, Ronny Liu, Wanquan Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Conference name International Conference on Optimization : Techniques and Applications (6th : 2004 : Ballarat, Vic.) Conference location Ballarat, Vic. Conference dates 9-11 Dec. 2004 Title of proceedings ICOTA 2004 : 6th International Conference on Optimization : Techniques and Applications Editor(s) Rubinov, Alex Sniedovich, Moshe Publication date 2004 Conference series International Conference on Optimization : Techniques and Applications Start page 1 End page 10 Total pages 10 Publisher [University of Ballarat] Place of publication [Ballarat, Vic.] Keyword(s) Eigenfaces eigenvectors eigenvalues threshold selection methods Summary In this paper, we investigate the parameter selection issues for Eigenfaces. Our focus is on the eigenvectors and threshold selection issues. We propose a systematic approach in selecting the eigenvectors based on the relative errors of the eigenvalues. In addition, we have designed a method for selecting the classification threshold that utilizes the information obtained from the training database effectively. Experimentation was conducted on the ORL and AMP face databases with results indicating that the automatic eigenvectors and threshold selection methods provide an optimum recognition in terms of precision and recall rates. Furthermore, we show that the eigenvector selection method outperforms energy and stretching dimension methods in terms of selected number of eigenvectors and computation cost. Language eng 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:30044884 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to conference webpage 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 Tue, 01 May 2012, 11:04:20 EST Wed, 09 May 2012, 15:50:16 EST Wed, 09 May 2012, 15:51:28 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 444 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 01 May 2012, 11:04:20 EST

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