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Mendeley readers
Chapter title |
Non-associative Higher-Order Markov Networks for Point Cloud Classification
|
---|---|
Chapter number | 33 |
Book title |
Computer Vision – ECCV 2014
|
Published by |
Springer, Cham, September 2014
|
DOI | 10.1007/978-3-319-10602-1_33 |
Book ISBNs |
978-3-31-910601-4, 978-3-31-910602-1
|
Authors |
Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 2% |
Germany | 1 | 2% |
Switzerland | 1 | 2% |
Austria | 1 | 2% |
Unknown | 38 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 31% |
Student > Master | 6 | 14% |
Researcher | 5 | 12% |
Student > Doctoral Student | 3 | 7% |
Professor | 2 | 5% |
Other | 4 | 10% |
Unknown | 9 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 33% |
Engineering | 12 | 29% |
Environmental Science | 3 | 7% |
Earth and Planetary Sciences | 2 | 5% |
Chemical Engineering | 1 | 2% |
Other | 0 | 0% |
Unknown | 10 | 24% |