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Mendeley readers
Chapter title |
Deep Features for Text Spotting
|
---|---|
Chapter number | 34 |
Book title |
Computer Vision – ECCV 2014
|
Published by |
Springer, Cham, September 2014
|
DOI | 10.1007/978-3-319-10593-2_34 |
Book ISBNs |
978-3-31-910592-5, 978-3-31-910593-2
|
Authors |
Max Jaderberg, Andrea Vedaldi, Andrew Zisserman |
Mendeley readers
The data shown below were compiled from readership statistics for 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | <1% |
Germany | 2 | <1% |
Italy | 2 | <1% |
Turkey | 1 | <1% |
Hong Kong | 1 | <1% |
Australia | 1 | <1% |
Finland | 1 | <1% |
France | 1 | <1% |
United Kingdom | 1 | <1% |
Other | 3 | <1% |
Unknown | 314 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 71 | 22% |
Student > Master | 64 | 19% |
Researcher | 48 | 15% |
Student > Bachelor | 43 | 13% |
Other | 13 | 4% |
Other | 43 | 13% |
Unknown | 48 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 213 | 65% |
Engineering | 41 | 12% |
Mathematics | 7 | 2% |
Social Sciences | 3 | <1% |
Physics and Astronomy | 2 | <1% |
Other | 6 | 2% |
Unknown | 58 | 18% |