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Mendeley readers
Chapter title |
Highly Accurate Food/Non-Food Image Classification Based on a Deep Convolutional Neural Network
|
---|---|
Chapter number | 43 |
Book title |
New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops
|
Published by |
Springer, Cham, September 2015
|
DOI | 10.1007/978-3-319-23222-5_43 |
Book ISBNs |
978-3-31-923221-8, 978-3-31-923222-5
|
Authors |
Hokuto Kagaya, Kiyoharu Aizawa |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 61 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 15% |
Student > Ph. D. Student | 7 | 11% |
Student > Bachelor | 5 | 8% |
Student > Doctoral Student | 4 | 7% |
Professor > Associate Professor | 2 | 3% |
Other | 6 | 10% |
Unknown | 28 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 25% |
Engineering | 7 | 11% |
Nursing and Health Professions | 3 | 5% |
Arts and Humanities | 2 | 3% |
Business, Management and Accounting | 1 | 2% |
Other | 5 | 8% |
Unknown | 28 | 46% |