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Mendeley readers
| Chapter title |
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
|
|---|---|
| Chapter number | 2 |
| Book title |
Domain Adaptation for Visual Understanding
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-30671-7_2 |
| Book ISBNs |
978-3-03-030670-0, 978-3-03-030671-7
|
| Authors |
Issam H. Laradji, Reza Babanezhad, Laradji, Issam H., Babanezhad, Reza |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 22% |
| Student > Master | 22 | 20% |
| Researcher | 12 | 11% |
| Student > Doctoral Student | 6 | 5% |
| Student > Bachelor | 4 | 4% |
| Other | 8 | 7% |
| Unknown | 35 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 50 | 45% |
| Engineering | 14 | 13% |
| Psychology | 2 | 2% |
| Chemistry | 2 | 2% |
| Business, Management and Accounting | 1 | <1% |
| Other | 6 | 5% |
| Unknown | 36 | 32% |