Name
Abstract | ||
|---|---|---|
•Incremental user activity recognition model learned from crowdsourcing user feedback.•Similarity metric learning is introduced and improved the activity recognition model.•Multi-metric learning mixed expert model integrated different user feedbacks.•The mixture expert model interprets the process of user feedback generation.•Manifested the efficiency by good accuracy between mixture expert and other methods. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.eswa.2018.09.021 | Expert Systems with Applications |
Keywords | DocType | Volume |
Crowdsourcing,Activity recognition,Metric learning,MEMAR | Journal | 162 |
ISSN | Citations | PageRank |
0957-4174 | 1 | 0.35 |
References | Authors | |
22 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaofeng Wang | 1 | 42 | 3.21 |
| Yang Xu | 2 | 16 | 5.33 |
| Haixiao Hu | 3 | 4 | 2.45 |
| ming liu | 4 | 8 | 2.93 |
| Gang Li | 5 | 381 | 62.77 |