Computer Science ›› 2006, Vol. 33 ›› Issue (5): 188-190.
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Abstract: In pattern recognition, the classification of high-dimensional and limited-sample data is not only a hotspot but also a difficulty all the time. Because the number of training samples is very small, big bias will occur when pattern covariance matrixes are
Key words: Fisherface, DA Fisherface, Optimal method,Feature extraction, Face recognition
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