2010 | OriginalPaper | Chapter
Convergence of GCM and Its Application to Face Recognition
Authors : Kai Li, Xinyong Chen, Nan Yang, Xiuchen Ye
Published in: Artificial Intelligence and Computational Intelligence
Publisher: Springer Berlin Heidelberg
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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.