Web: http://arxiv.org/abs/2205.03380

May 9, 2022, 1:10 a.m. | Gaohang Yu, Shaochun Wan, Liqun Qi, Yanwei Xu

cs.CV updates on arXiv.org arxiv.org

Tensor train (TT) factorization and corresponding TT rank, which can well
express the low-rankness and mode correlations of higher-order tensors, have
attracted much attention in recent years. However, TT factorization based
methods are generally not sufficient to characterize low-rankness along each
mode of third-order tensor. Inspired by this, we generalize the tensor train
factorization to the mode-k tensor train factorization and introduce a
corresponding multi-mode tensor train (MTT) rank. Then, we proposed a novel
low-MTT-rank tensor completion model via multi-mode …

arxiv factorization images regularization remote sensing tensor

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