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 |
An Evaluation of the Invariance Properties of a Biologically-Inspired System for Unconstrained Face Recognition
|
---|---|
Chapter number | 48 |
Book title |
Bio-Inspired Models of Network, Information, and Computing Systems
|
Published by |
Springer, Berlin, Heidelberg, December 2010
|
DOI | 10.1007/978-3-642-32615-8_48 |
Book ISBNs |
978-3-64-232614-1, 978-3-64-232615-8
|
Authors |
Nicolas Pinto, David Cox |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 29% |
United Kingdom | 1 | 6% |
Unknown | 11 | 65% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 24% |
Researcher | 3 | 18% |
Student > Bachelor | 2 | 12% |
Professor > Associate Professor | 2 | 12% |
Student > Master | 2 | 12% |
Other | 4 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 59% |
Engineering | 3 | 18% |
Agricultural and Biological Sciences | 2 | 12% |
Neuroscience | 1 | 6% |
Mathematics | 1 | 6% |
Other | 0 | 0% |