Introduces TNPK as a scale-invariant nonconvex surrogate for tensor tubal rank, proves local minimizer property under tensor NSP, and develops an ADMM algorithm with proximal operator for LRTC that outperforms competitors on synthetic and real data.
Quaternion nuclear norms over frobenius norms minimization for robust matrix completion,
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Low-Rank Tensor Completion Based on Fractional Regularization with Ky Fan p-k Norm
Introduces TNPK as a scale-invariant nonconvex surrogate for tensor tubal rank, proves local minimizer property under tensor NSP, and develops an ADMM algorithm with proximal operator for LRTC that outperforms competitors on synthetic and real data.