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Two of the very successful and popular approaches to face recognition are the Principal Components Analysis (PCA) [1] and Fisher's Linear Discriminant (FLD) [2].
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International Conference, Springer-Verlag Berlin Heidelberg, Vijaya Kumar, Machine Intell, New York, Department of Computer Science, Carnegie Mellon University, Hong Kong, Jie Tian, John Wiley, Receiver Operating Characteristic, University of Surrey, Neural Information Processing Systems, Video-Based Person Authentication, Biometrics Engineering Research Center, Constraint Shape Model, European Conference, Kluwer Academic Publishers, Prentice Hall, Program of China, Academic Press, Cambridge University Press, Computer Society Conference, Springer Verlag, Gait Challenge
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