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Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation

Sparse RepresentationEngineeringMachine LearningData ScienceMatrix FactorizationTotal VariationInverse ProblemsTensor Train RankDimensionality ReductionLow-rank Approximation