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Mendeley readers
Chapter title |
Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme
|
---|---|
Chapter number | 78 |
Book title |
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
|
Published in |
Lecture notes in computer science, November 2015
|
DOI | 10.1007/978-3-319-24553-9_78 |
Book ISBNs |
978-3-31-924552-2, 978-3-31-924553-9
|
Authors |
Loïc Peter, Olivier Pauly, Pierre Chatelain, Diana Mateus, Nassir Navab |
Editors |
Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro F. Frangi |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 31% |
Student > Ph. D. Student | 3 | 19% |
Other | 2 | 13% |
Student > Bachelor | 2 | 13% |
Student > Master | 1 | 6% |
Other | 1 | 6% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 56% |
Agricultural and Biological Sciences | 2 | 13% |
Physics and Astronomy | 1 | 6% |
Engineering | 1 | 6% |
Unknown | 3 | 19% |