You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Learning Deep Representations with Probabilistic Knowledge Transfer
|
---|---|
Chapter number | 17 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01252-6_17 |
Book ISBNs |
978-3-03-001251-9, 978-3-03-001252-6
|
Authors |
Nikolaos Passalis, Anastasios Tefas, Passalis, Nikolaos, Tefas, Anastasios |
Mendeley readers
The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 232 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 51 | 22% |
Student > Master | 44 | 19% |
Researcher | 16 | 7% |
Student > Doctoral Student | 9 | 4% |
Student > Bachelor | 9 | 4% |
Other | 19 | 8% |
Unknown | 84 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 110 | 47% |
Engineering | 19 | 8% |
Mathematics | 2 | <1% |
Linguistics | 2 | <1% |
Materials Science | 2 | <1% |
Other | 7 | 3% |
Unknown | 90 | 39% |