Name
Abstract | ||
|---|---|---|
Tensor completion recovers missing entries of multiway data. Most of the current methods exploit the low-rank tensor structure for image completion applications. In this paper, we simultaneously exploit the globally multidimensional structure and locally piecewise smoothness to further enhance the performance. In the proposed optimization model, the low tensor tree rank minimization is used for th... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TMM.2018.2859026 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Tensile stress,TV,Minimization,Optimization,Matrix decomposition,Data structures,Color | Data structure,Pattern recognition,Tensor,Computer science,Matrix decomposition,Algorithm,Stress (mechanics),Light field,Minification,Artificial intelligence,Optimization problem,Computational complexity theory | Journal |
Volume | Issue | ISSN |
21 | 2 | 1520-9210 |
Citations | PageRank | References |
6 | 0.39 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yipeng Liu | 1 | 43 | 5.93 |
| Zhen Long | 2 | 26 | 1.96 |
| Ce Zhu | 3 | 1473 | 117.79 |