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Published in 2018 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2018.2841377
Abstract: In this paper, we propose a general framework for tensor singular value decomposition (tensor singular value decomposition (SVD)), which focuses on the methodology and theory for extracting the hidden low-rank structure from high-dimensional tensor data.…
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Keywords:
limits tensor;
tensor svd;
statistical computational;
computational limits ... See more keywords