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Mendeley readers
| Chapter title |
Geometric Optimization in Machine Learning
|
|---|---|
| Chapter number | 3 |
| Book title |
Algorithmic Advances in Riemannian Geometry and Applications
|
| Published by |
Springer International Publishing, October 2016
|
| DOI | 10.1007/978-3-319-45026-1_3 |
| Book ISBNs |
978-3-31-945025-4, 978-3-31-945026-1
|
| Authors |
Suvrit Sra, Reshad Hosseini |
| Editors |
Hà Quang Minh, Vittorio Murino |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 4% |
| Switzerland | 1 | 4% |
| Unknown | 22 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 38% |
| Student > Master | 4 | 17% |
| Researcher | 3 | 13% |
| Professor | 3 | 13% |
| Other | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 8 | 33% |
| Engineering | 5 | 21% |
| Computer Science | 3 | 13% |
| Design | 2 | 8% |
| Social Sciences | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 3 | 13% |