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Fukunaga-Koontz transform for small sample size problems

Miranda, Abhilash A. and Whelan, Paul F. (2005) Fukunaga-Koontz transform for small sample size problems. In: ISSC 2005 - IEE Irish Signals and Systems Conference, 1-2 September 2005, Dublin, Ireland. ISBN 0 86341 549 0

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Abstract

In this paper, we propose the Fukunaga-Koontz Transform (FKT) as applied to small-sample size (SSS) problems and formulate a feature scatter matrix based equivalent of the FKT. We establish the classical linear discriminant analysis (LDA) analogy of the FKT and apply it to a SSS situation. We demonstrate the significant computational savings and robustness associated with our approach using a multi-class face detection problem

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:object detection; S-matrix theory; transforms;
Subjects:Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Official URL:http://dx.doi.org/10.1049/cp:20050304
Copyright Information:© 2005 Institution of Engineering and Technology
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:4663
Deposited On:03 Jul 2009 09:53 by DORAS Administrator. Last Modified 03 Jul 2009 09:53

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