Low CP Rank and Tucker Rank Tensor Completion for Estimating Missing Components in Image Data
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DOI: 10.1109/tcsvt.2019.2901311
Abstract: Tensor completion recovers missing components of multi-way data. The existing methods use either the Tucker rank or the CANDECOMP/PARAFAC (CP) rank in low-rank tensor optimization for data completion. In fact, these two kinds of tensor… read more here.
Keywords: tucker rank; tensor; completion; low rank ... See more keywords