Name
Abstract | ||
|---|---|---|
Domain adaptation is suitable for transferring knowledge learned from one domain to a different but related domain. Considering the substantially large domain discrepancies, learning a more generalized feature representation is crucial for domain adaptation. On account of this, we propose an adaptive component embedding (ACE) method, for domain adaptation. Specifically, ACE learns adaptive compone... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCYB.2020.2974106 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Geometry,Manifolds,Task analysis,Kernel,Neural networks,Cybernetics,Hilbert space | Journal | 51 |
Issue | ISSN | Citations |
7 | 2168-2267 | 6 |
PageRank | References | Authors |
0.42 | 18 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mengmeng Jing | 1 | 73 | 4.72 |
| Jidong Zhao | 2 | 6 | 0.42 |
| Jingjing Li | 3 | 597 | 44.26 |
| Lei Zhu | 4 | 854 | 51.69 |
| Yang Yang | 5 | 332 | 20.67 |
| Heng Tao Shen | 6 | 6020 | 267.19 |