3 citations · 5 across the 12 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.IT2019★ 3 cited
RIP-based performance guarantee for low-tubal-rank tensor recovery
Feng Zhang, Wendong Wang, Jianwen Huang +2
The essential task of tensor data analysis focuses on the tensor decomposition and the corresponding notion of rank. In this paper, by introducing the notion of tensor Singular Val…
stat.ML2019★ 1 cited
Tensor Restricted Isometry Property Analysis For a Large Class of Random Measurement Ensembles
Feng Zhang, Wendong Wang, Jingyao Hou +2
In previous work, theoretical analysis based on the tensor Restricted Isometry Property (t-RIP) established the robust recovery guarantees of a low-tubal-rank tensor. The obtained…
math.NA2019
Low-rank matrix recovery via regularized nuclear norm minimization
Wendong Wang, Feng Zhang, Jianjun Wang
In this paper, we theoretically investigate the low-rank matrix recovery problem in the context of the unconstrained regularized nuclear norm minimization (RNNM) framework. Our the…