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In this paper, an efficient feature extraction technique called Local Graph Embedding Discriminant Analysis (LGEDA) is developed for solving one sample per person problem. In our algorithm, a mean filter is used to generate imitated images and a double size new training set can be obtained. Taking the local neighborhood geometry structure and class labels into account, the proposed algorithm can maximize...
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