AlexNet (Japanese Wikipedia)

Analysis of information sources in references of the Wikipedia article "AlexNet" in Japanese language version.

refsWebsite

Global rank Japanese rank

8doi.org

2^nd place

6^th place

4worldcat.org

5^th place

19^th place

2nih.gov

4^th place

24^th place

2arxiv.org

69^th place

227^th place

2lecun.com

low place

2idsia.ch

low place

1qz.com

1,110^th place

4,470^th place

1nips.cc

low place

1image-net.org

low place

1inria.fr

4,903^rd place

low place

1rub.de

low place

1scholarpedia.org

low place

1harvard.edu

18^th place

107^th place

1princeton.edu

741^st place

1,856^th place

1adeshpande3.github.io

low place

adeshpande3.github.io

Deshpande. “The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3)”. adeshpande3.github.io. 2018年12月4日閲覧。

arxiv.org

Cireșan, Dan; Meier, Ueli; Schmidhuber, Jürgen (June 2012). Multi-column deep neural networks for image classification. New York, NY: Institute of Electrical and Electronics Engineers (IEEE). 3642–3649. arXiv:1202.2745. doi:10.1109/CVPR.2012.6248110. ISBN 978-1-4673-1226-4. OCLC 812295155
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2016). “Deep Residual Learning for Image Recognition.”. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 770–778. arXiv:1512.03385. doi:10.1109/CVPR.2016.90. ISBN 978-1-4673-8851-1.

doi.org

Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (2017-05-24). “ImageNet classification with deep convolutional neural networks”. Communications of the ACM 60 (6): 84–90. doi:10.1145/3065386. ISSN 0001-0782.
Schmidhuber, Jürgen (2015). “Deep Learning”. Scholarpedia 10 (11): 1527–54. doi:10.1162/neco.2006.18.7.1527. PMID 16764513.
Cireșan, Dan; Meier, Ueli; Schmidhuber, Jürgen (June 2012). Multi-column deep neural networks for image classification. New York, NY: Institute of Electrical and Electronics Engineers (IEEE). 3642–3649. arXiv:1202.2745. doi:10.1109/CVPR.2012.6248110. ISBN 978-1-4673-1226-4. OCLC 812295155
LeCun, Y.; Boser, B.; Denker, J. S.; Henderson, D.; Howard, R. E.; Hubbard, W.; Jackel, L. D. (1989). “Backpropagation Applied to Handwritten Zip Code Recognition”. Neural Computation (MIT Press - Journals) 1 (4): 541–551. doi:10.1162/neco.1989.1.4.541. ISSN 0899-7667. OCLC 364746139.
LeCun, Yann; Léon Bottou; Yoshua Bengio; Patrick Haffner (1998). “Gradient-based learning applied to document recognition”. Proceedings of the IEEE 86 (11): 2278–2324. doi:10.1109/5.726791 2016年10月7日閲覧。.
Fukushima, K. (2007). “Neocognitron”. Scholarpedia 2 (1): 1717. Bibcode: 2007SchpJ...2.1717F. doi:10.4249/scholarpedia.1717.
Fukushima, Kunihiko (1980). “Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position”. Biological Cybernetics 36 (4): 193–202. doi:10.1007/BF00344251. PMID 7370364 2013年11月16日閲覧。.
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2016). “Deep Residual Learning for Image Recognition.”. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 770–778. arXiv:1512.03385. doi:10.1109/CVPR.2016.90. ISBN 978-1-4673-8851-1.

harvard.edu

ui.adsabs.harvard.edu

Fukushima, K. (2007). “Neocognitron”. Scholarpedia 2 (1): 1717. Bibcode: 2007SchpJ...2.1717F. doi:10.4249/scholarpedia.1717.

idsia.ch

Cireșan, Dan; Ueli Meier; Jonathan Masci; Luca M. Gambardella; Jurgen Schmidhuber (2011). “Flexible, High Performance Convolutional Neural Networks for Image Classification”. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence-Volume Volume Two 2: 1237–1242 2013年11月17日閲覧。.