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Mendeley readers
Chapter title |
Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks
|
---|---|
Chapter number | 43 |
Book title |
Neural Information Processing
|
Published in |
Lecture notes in computer science, September 2016
|
DOI | 10.1007/978-3-319-46681-1_43 |
Book ISBNs |
978-3-31-946680-4, 978-3-31-946681-1
|
Authors |
Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura |
Editors |
Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 5% |
Poland | 1 | 5% |
Unknown | 18 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 45% |
Student > Ph. D. Student | 5 | 25% |
Other | 1 | 5% |
Professor | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 2 | 10% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 60% |
Engineering | 2 | 10% |
Business, Management and Accounting | 1 | 5% |
Physics and Astronomy | 1 | 5% |
Linguistics | 1 | 5% |
Other | 2 | 10% |
Unknown | 1 | 5% |