Double Weighted Truncated Nuclear Norm Regularization for Low-Rank Matrix Completion

no code implementations • 7 Jan 2019 • Shengke Xue, Wenyuan Qiu, Fan Liu, Xinyu Jin

The truncated nuclear norm regularization (TNNR) method is applicable in real-world scenarios.

Low-Rank Matrix Completion

Truncated nuclear norm regularization for low-rank tensor completion

1 code implementation • 7 Jan 2019 • Shengke Xue, Wenyuan Qiu, Fan Liu, Xinyu Jin

It is proved that the recently proposed truncated nuclear norm (TNN) can replace the traditional nuclear norm, as an improved approximation to the rank of a matrix.

Low-Rank Tensor Completion by Truncated Nuclear Norm Regularization

1 code implementation • 3 Dec 2017 • Shengke Xue, Wenyuan Qiu, Fan Liu, Xinyu Jin

Currently, low-rank tensor completion has gained cumulative attention in recovering incomplete visual data whose partial elements are missing.