no code implementations • 19 May 2023 • Wenjin Qin, Hailin Wang, Feng Zhang, Weijun Ma, Jianjun Wang, TingWen Huang
To the best of our knowledge, this is the first study to incorporate the randomized low-rank approximation into the RHTC problem.
1 code implementation • 4 Feb 2023 • Hailin Wang, Jiangjun Peng, Wenjin Qin, Jianjun Wang, Deyu Meng
Recent research have made significant progress by adopting two insightful tensor priors, i. e., global low-rankness (L) and local smoothness (S) across different tensor modes, which are always encoded as a sum of two separate regularization terms into the recovery models.