Graph Regularized Sparsity Discriminant Analysis for face recognition

Abstract

Manifold learning and Sparse Representation Classifier are two popular techniques for face recognition. Because manifold learning can find low-dimensional representations for high-dimensional data, it is widely applied in computer vision and pattern recognition. Most of the manifold learning algorithms can be unified in the graph embedding framework, where… (More)
DOI: 10.1016/j.neucom.2015.04.116

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