Name
Abstract | ||
|---|---|---|
Blind source separation (BSS) aims to discover the underlying source signals from a set of linear mixture signals without any prior information of the mixing system, which is a fundamental problem in signal and image processing field. Most of the state-of-the-art algorithms have independently handled the decompositions of mixture signals. In this paper, we propose a new algorithm named multi-task ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIP.2018.2836324 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Blind source separation,Task analysis,Sensor arrays,Sparse matrices,Remote sensing | Convergence (routing),Multi-task learning,Pattern recognition,Task analysis,Sparse model,Image processing,Artificial intelligence,Sample complexity,Blind signal separation,Mathematics,Sparse matrix | Journal |
Volume | Issue | ISSN |
27 | 9 | 1057-7149 |
Citations | PageRank | References |
8 | 0.44 | 15 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Du | 1 | 114 | 19.71 |
| Shaodong Wang | 2 | 15 | 0.86 |
| Chang Xu | 3 | 106 | 20.21 |
| Nan Wang | 4 | 93 | 27.47 |
| Liangpei Zhang | 5 | 94 | 16.55 |
| Dacheng Tao | 6 | 19032 | 747.78 |