Face recognition using a hybrid supervised/unsupervised neural network
Nathan Intrator, D. Reisfeld, Yaara Yeshurun · 2002
Face recognition schemes that are applied directly to gray level pixel images are presented. Two methods for reducing the overfitting-a common problem in high dimensional classification schemes-are presented and the superiority of their combination is demonstrated. The classification scheme is preceded by preprocessing devoted to reducing the viewpoint and scale variability in the data.