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Two-stage dimension reduction for noisy high-dimensional images and application to Cryogenic Electron Microscopy
The first stage treats the image as a matrix, which is a tensor of order 2, and uses multilinear principal component analysis (MPCA) for matrix rank reduction and image denoising.
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