Convergence of GCM and its application to face recognition

Authors:
Kai Li;Xinyong Chen;Nan Yang;Xiuchen Ye
Affiliations:
School of Mathematics and Computer, Hebei University, Baoding, China;School of Mathematics and Computer, Hebei University, Baoding, China;School of Mathematics and Computer, Hebei University, Baoding, China;School of Mathematics and Computer, Hebei University, Baoding, China
Venue:
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Year:
2010

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Abstract

We mainly generalize consistency method in semi-supervised learning by expanding kernel matrix,denoted by GCM(Generalized Consistency Method), and study its convergence. Aimed at GCM, we give the detailed proof for condition of convergence. Moreover, we further study the validity of some variants of GCM. Finally we conduct the experimental study on the parameters involved in GCM to face recognition. Meanwhile, the performance of GCM and its some variants are compared with that of support vector machine methods.