Orthogonal Quadratic Discriminant Functions for Face Recognition

ISNN (3), pp. 466-475, 2009.

Cited by: 7|Bibtex|Views11|DOI:https://doi.org/10.1007/978-3-642-01513-7_51
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

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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