Computer Vision – ECCV 2016
Springer International Publishing
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Timeline
Mendeley readers
| Chapter title |
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
|
|---|---|
| Chapter number | 19 |
| Book title |
Computer Vision – ECCV 2016
|
| Published by |
Springer, Cham, October 2016
|
| DOI | 10.1007/978-3-319-46487-9_19 |
| Book ISBNs |
978-3-31-946486-2, 978-3-31-946487-9
|
| Authors |
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei, Krause, Jonathan, Sapp, Benjamin, Howard, Andrew, Zhou, Howard, Toshev, Alexander, Duerig, Tom, Philbin, James, Fei-Fei, Li |
Mendeley readers
The data shown below were compiled from readership statistics for 293 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | <1% |
| China | 1 | <1% |
| Italy | 1 | <1% |
| United States | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 287 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 76 | 26% |
| Student > Master | 58 | 20% |
| Researcher | 51 | 17% |
| Student > Bachelor | 24 | 8% |
| Other | 14 | 5% |
| Other | 26 | 9% |
| Unknown | 44 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 185 | 63% |
| Engineering | 33 | 11% |
| Mathematics | 6 | 2% |
| Environmental Science | 5 | 2% |
| Agricultural and Biological Sciences | 4 | 1% |
| Other | 10 | 3% |
| Unknown | 50 | 17% |