Face recognition using integrated discrete cosine transform and kernel fisher discriminant analysis
In face recognition applications, the dimension of the sample space is usually larger than the number of the samples in a training set. As a result, Fisher Linear Discriminant Analysis (FLD) based methods suffers due to singularity problem (of scatter matrix). This situation is often referred as &qu...
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2018
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| Online Access: | http://dspace.uniten.edu.my/jspui/handle/123456789/9118 |
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