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For face recognition, traditional appearance-based methods represented raw face images as vectors and employed dimensionality reduction techniques to capture the structure of the face space. The tensor subspace analysis (TSA) algorithm uses second order tensor to represent face images and assumes the face images reside on or close to a submanifold embedded in the tensor space. The effectiveness of...
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