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 |
Redundant Bit Vectors for Quickly Searching High-Dimensional Regions
|
---|---|
Chapter number | 9 |
Book title |
Deterministic and Statistical Methods in Machine Learning
|
Published by |
Springer, Berlin, Heidelberg, January 2005
|
DOI | 10.1007/11559887_9 |
Book ISBNs |
978-3-54-029073-5, 978-3-54-031728-9
|
Authors |
Jonathan Goldstein, John C. Plat, Christopher J. C. Burges |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 5% |
United States | 2 | 5% |
Hong Kong | 1 | 3% |
Egypt | 1 | 3% |
United Kingdom | 1 | 3% |
Japan | 1 | 3% |
Russia | 1 | 3% |
Unknown | 29 | 76% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 29% |
Student > Master | 9 | 24% |
Researcher | 8 | 21% |
Student > Bachelor | 3 | 8% |
Other | 3 | 8% |
Other | 4 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 24 | 63% |
Engineering | 4 | 11% |
Mathematics | 3 | 8% |
Agricultural and Biological Sciences | 3 | 8% |
Physics and Astronomy | 2 | 5% |
Other | 2 | 5% |