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Mendeley readers
Chapter title |
Variable Length Teager Energy Based Mel Cepstral Features for Identification of Twins
|
---|---|
Chapter number | 85 |
Book title |
Pattern Recognition and Machine Intelligence
|
Published by |
Springer, Berlin, Heidelberg, December 2009
|
DOI | 10.1007/978-3-642-11164-8_85 |
Book ISBNs |
978-3-64-211163-1, 978-3-64-211164-8
|
Authors |
Hemant A. Patil, Keshab K. Parhi, Patil, Hemant A., Parhi, Keshab K. |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 33% |
Professor | 1 | 17% |
Student > Postgraduate | 1 | 17% |
Student > Master | 1 | 17% |
Unknown | 1 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 50% |
Computer Science | 1 | 17% |
Mathematics | 1 | 17% |
Unknown | 1 | 17% |