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Robust learning of discriminative projection for multicategory classification on the Stiefel manifold

8 years 10 months ago
Robust learning of discriminative projection for multicategory classification on the Stiefel manifold
Learning a robust projection with a small number of training samples is still a challenging problem in face recognition, especially when the unseen faces have extreme variation in pose, illumination, and facial expression. To address this problem, we propose a framework formulated under statistical learning theory that facilitates robust learning of a discriminative projection. Dimensionality reduction using the projection matrix is combined with a linear classifier in the regularized framework of lasso regression. The projection matrix in conjunction with the classifier parameters are then found by solving an optimization problem over the Stiefel manifold. The experimental results on standard face databases suggest that the proposed method outperforms some recent regularized techniques when the number of training samples is small.
Duc-Son Pham, Svetha Venkatesh
Added 07 Dec 2010
Updated 07 Dec 2010
Type Conference
Year 2008
Where CVPR
Authors Duc-Son Pham, Svetha Venkatesh
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