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Mendeley readers
Chapter title |
Learnable PINs: Cross-modal Embeddings for Person Identity
|
---|---|
Chapter number | 5 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01261-8_5 |
Book ISBNs |
978-3-03-001260-1, 978-3-03-001261-8
|
Authors |
Arsha Nagrani, Samuel Albanie, Andrew Zisserman, Nagrani, Arsha, Albanie, Samuel, Zisserman, Andrew |
Mendeley readers
The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 190 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 40 | 21% |
Student > Master | 27 | 14% |
Researcher | 15 | 8% |
Student > Bachelor | 13 | 7% |
Student > Postgraduate | 7 | 4% |
Other | 15 | 8% |
Unknown | 73 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 90 | 47% |
Engineering | 17 | 9% |
Mathematics | 2 | 1% |
Neuroscience | 2 | 1% |
Business, Management and Accounting | 1 | <1% |
Other | 4 | 2% |
Unknown | 74 | 39% |