Abstract:Tensor completion aims to recover an unknown low-rank or approximately low-rank tensor from a sampling set of its entries. It is shown that this problem can be solved via iterative hard thresholding method. However the orthogonality of the current step and the previous step leads to its slow convergence speed. In this paper, we propose an accelerated iterative hard thresholding method for tensor completion (ATIHT) by combining the current gradient and directions of several previous iterative steps as new searc… Show more
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