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- W1983848850 abstract "Face recognition is characteristically different from regular pattern recognition and, therefore, requires a different discriminant analysis other than linear discriminant analysis(LDA). LDA is a single-exemplar method in the sense that each class during classification is represented by a single exemplar, i.e., the sample mean of the class. We present a multiple-exemplar discriminant analysis (MEDA) where each class is represented using several exemplars or even the whole available sample set. The proposed approach produces improved classification results when tested on a subset of FERET database where LDA is ineffective." @default.
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- W1983848850 date "2004-08-23" @default.
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- W1983848850 title "Multiple-exemplar discriminant analysis for face recognition" @default.
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- W1983848850 doi "https://doi.org/10.1109/icpr.2004.605" @default.
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