Orthogonal Quadratic Discriminant Functions for Face Recognition
ISNN (3), pp. 466-475, 2009.
WOS SCOPUS EI
Abstract:
Small sample size (SSS) problem is usually a limit to the robustness of learning methods in face recognition. Especially in the quadratic discriminant functions (QDF), too many parameters need to be estimated and covariance matrix of a class is usually singular. In order to overcome the SSS problems, we proposed a novel approach called or...More
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