Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior Subspace Information
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DOI: 10.1109/tpami.2020.2986773
Abstract: Tensor principal component pursuit (TPCP) is a powerful approach in the tensor robust principal component analysis (TRPCA), where the goal is to decompose a data tensor to a low-tubal-rank part plus a sparse residual. TPCP… read more here.
Keywords: tubal rank; plus sparse; prior subspace; tensor ... See more keywords