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The FERET evaluation compared recognition rates for different semi-automated and automated face recognition algorithms. We extend FERET by considering when differences in recognition rates are statistically distinguishable subject to changes in test imagery. Nearest Neighbor classifiers using principal component and linear discriminant subspaces are compared using different choices of distance metric. Probability distributions for algoriithm recognition rates and pairwise differences indoi:10.1109/cvpr.2001.990520 dblp:conf/cvpr/BeveridgeSDG01 fatcat:mv6a5rqhhnenbl7ollcvfmsicu