TY - GEN
T1 - Face recognition using a hybrid supervised/unsupervised neural network
AU - Intrator, Nathan
AU - Reisfeld, Daniel
AU - Yeshurun, Yehezkel
N1 - Publisher Copyright:
© 1994 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.
PY - 1994
Y1 - 1994
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85081191080&partnerID=8YFLogxK
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AN - SCOPUS:85081191080
T3 - Proceedings - International Conference on Pattern Recognition
SP - 50
EP - 54
BT - Proceedings of the 12th IAPR International Conference on Pattern Recognition - Conference B
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IAPR International Conference on Pattern Recognition - Conference B: Pattern Recognition and Neural Networks, ICPR 1994
Y2 - 9 October 1994 through 13 October 1994
ER -