Name
Abstract | ||
|---|---|---|
In this paper, we propose a new approach to solve low-rank tensor completion and robust tensor PCA. Our approach is based on some novel notion of (even-order) tensor ranks, to be called the M-rank, the symmetric M-rank, and the strongly symmetric M-rank. We discuss the connections between these new tensor ranks and the CP-rank and the symmetric CP-rank of an even-order tensor. We show that the M-r... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSTSP.2018.2873144 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | Field | DocType |
Tensors,Robustness,Principal component analysis,Optimization,Minimization | Mathematical optimization,Tensor,Algebra,Computer science,Tensor completion,Robustness (computer science),Minification,Principal component analysis | Journal |
Volume | Issue | ISSN |
12 | 6 | 1932-4553 |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Jiang | 1 | 62 | 5.55 |
| Shiqian Ma | 2 | 1068 | 63.48 |
| Shuzhong Zhang | 3 | 2808 | 181.66 |