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Timeline
Attention over time
Attention Score history
Activity
Mendeley demographics
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| Title |
Smart Mining for Deep Metric Learning
|
|---|---|
| Published by |
Institute of Electrical and Electronics Engineers (IEEE), October 2017
|
| DOI | 10.1109/iccv.2017.307 |
| Authors |
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Mendeley demographics
The data shown below were compiled from readership statistics for 286 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 286 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 73 | 26% |
| Student > Master | 43 | 15% |
| Researcher | 42 | 15% |
| Student > Bachelor | 20 | 7% |
| Student > Doctoral Student | 14 | 5% |
| Other | 32 | 11% |
| Unknown | 62 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 161 | 56% |
| Engineering | 33 | 12% |
| Mathematics | 6 | 2% |
| Physics and Astronomy | 3 | 1% |
| Business, Management and Accounting | 2 | <1% |
| Other | 9 | 3% |
| Unknown | 72 | 25% |