Kernel-based Subspace Analysis for Face Recognition

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dc.contributor.author Tsai, PC
dc.contributor.author Jan, T
dc.contributor.author Hintz, TB
dc.contributor.editor N/A
dc.date.accessioned 2009-11-09T05:39:15Z
dc.date.issued 2007-01
dc.identifier.citation IEEE International Joint Conference on Neural Networks, 2007, pp. 1127 - 1132
dc.identifier.isbn 978-1-4244-1380-5
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/3170
dc.description.abstract In face recognition, if the extracted input data contains misleading information (uncertainty), the classifiers may produce degraded classification performance. In this paper, we employed kernel-based discriminant analysis method for the non-separable problems in face recognition under facial expression changes. The effect of the transformations on a subsequent classification was tested in combination with learning algorithms. We found that the transformation of kernel-based discriminant analysis has a beneficial effect on the classification performance. The experimental results indicated that the nonlinear discriminant analysis method dealt with the uncertainty problem very well. Facial expressions can be used as another behavior biometric for human identification. It appears that face recognition may be robust to facial expression changes, and thus applicable.
dc.publisher IEEE Press
dc.relation.isbasedon 10.1109/IJCNN.2007.4371116
dc.title Kernel-based Subspace Analysis for Face Recognition
dc.type Conference Proceeding
dc.parent IEEE International Joint Conference on Neural Networks
dc.journal.number en_US
dc.publocation Florida, USA en_US
dc.publocation IEEE conference proceedings
dc.identifier.startpage 1127 en_US
dc.identifier.endpage 1132 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.conference International Conference on Intelligent Sensors, Sensor Networks and Information Processing
dc.conference IEEE International Joint Conference on Neural Networks
dc.conference.location Orlando, USA en_US
dc.for 080108 Neural, Evolutionary and Fuzzy Computation
dc.for 080104 Computer Vision
dc.for 080109 Pattern Recognition and Data Mining
dc.for 080105 Expert Systems
dc.personcode 830145
dc.personcode 020524
dc.personcode 044177
dc.percentage 40 en_US
dc.classification.name Neural, Evolutionary and Fuzzy Computation en_US
dc.classification.type FOR-08 en_US
dc.custom IEEE International Joint Conference on Neural Networks en_US
dc.date.activity 20070812 en_US
dc.date.activity 2007-12-03
dc.date.activity 2007-08-12
dc.location.activity Orlando, USA en_US
dc.location.activity Melbourne, Australia
dc.description.keywords emotion recognition face recognition feature extraction image classification neural nets statistical analysis en_US
dc.description.keywords Trust, Sensor networks, reputation, probability, Bayesian
dc.description.keywords emotion recognition face recognition feature extraction image classification neural nets statistical analysis
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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