Low-Rank Preserving t-Linear Projection for Robust Image Feature Extraction

IEEE Trans. Image Process., pp. 108-120, 2020.

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As the cornerstone for joint dimension reduction and feature extraction, extensive linear projection algorithms were proposed to fit various requirements. When being applied to image data, however, existing methods suffer from representation deficiency since the multi-way structure of the data is (partially) neglected. To solve this probl...More



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