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| Chapter title |
Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
|
|---|---|
| Chapter number | 7 |
| Book title |
Artificial Neural Networks and Machine Learning – ICANN 2011
|
| Published by |
Springer, Berlin, Heidelberg, June 2011
|
| DOI | 10.1007/978-3-642-21735-7_7 |
| Book ISBNs |
978-3-64-221734-0, 978-3-64-221735-7
|
| Authors |
Jonathan Masci, Ueli Meier, Dan Cireşan, Jürgen Schmidhuber |
Mendeley readers
The data shown below were compiled from readership statistics for 1,354 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | <1% |
| Germany | 4 | <1% |
| Japan | 4 | <1% |
| United Kingdom | 4 | <1% |
| Canada | 4 | <1% |
| Singapore | 3 | <1% |
| China | 3 | <1% |
| France | 3 | <1% |
| Colombia | 2 | <1% |
| Other | 19 | 1% |
| Unknown | 1297 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 384 | 28% |
| Student > Master | 258 | 19% |
| Researcher | 159 | 12% |
| Student > Bachelor | 93 | 7% |
| Student > Doctoral Student | 61 | 5% |
| Other | 151 | 11% |
| Unknown | 248 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 625 | 46% |
| Engineering | 246 | 18% |
| Agricultural and Biological Sciences | 24 | 2% |
| Mathematics | 22 | 2% |
| Physics and Astronomy | 19 | 1% |
| Other | 112 | 8% |
| Unknown | 306 | 23% |