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 |
Unifying Probabilistic Linear Discriminant Analysis Variants in Biometric Authentication
|
---|---|
Chapter number | 47 |
Book title |
Structural, Syntactic, and Statistical Pattern Recognition
|
Published by |
Springer, Berlin, Heidelberg, August 2014
|
DOI | 10.1007/978-3-662-44415-3_47 |
Book ISBNs |
978-3-66-244414-6, 978-3-66-244415-3
|
Authors |
Aleksandr Sizov, Kong Aik Lee, Tomi Kinnunen |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 3% |
Unknown | 31 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 22% |
Student > Ph. D. Student | 6 | 19% |
Student > Master | 5 | 16% |
Student > Bachelor | 3 | 9% |
Student > Postgraduate | 2 | 6% |
Other | 1 | 3% |
Unknown | 8 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 44% |
Engineering | 5 | 16% |
Mathematics | 2 | 6% |
Social Sciences | 1 | 3% |
Linguistics | 1 | 3% |
Other | 0 | 0% |
Unknown | 9 | 28% |