MNISTデータベース (Japanese Wikipedia)

Analysis of information sources in references of the Wikipedia article "MNISTデータベース" in Japanese language version.

refsWebsite

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14doi.org

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12arxiv.org

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3lecun.com

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3nih.gov

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3github.com

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3drive.google.com

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1vision-systems.com

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1jhu.edu

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1u-tokyo.ac.jp

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1newsmth.net

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1nist.gov

355^th place

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1uni-potsdam.de

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1sc.edu

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1supsi.ch

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1vlabdownload.googlecode.com

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1icdar2011.org

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1web.archive.org

1^st place

1acm.org

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1ieee.org

652^nd place

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1researchgate.net

120^th place

616^th place

1harvard.edu

18^th place

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1in2p3.fr

low place

1microsoft.com

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acm.org

dl.acm.org

Wan et al. 2013. Wan, Li; Matthew Zeiler; Sixin Zhang; Yann LeCun; Rob Fergus (2013). Regularization of Neural Network using DropConnect. International Conference on Machine Learning(ICML).{{cite conference}}: CS1メンテナンス: デフォルトと同じref (カテゴリ)

arxiv.org

Cohen, Gregory; Afshar, Saeed (17 February 2017). “EMNIST: an extension of MNIST to handwritten letters”. arXiv:1702.05373 [cs.CV].
Cires¸an, Dan; Ueli Meier; Jürgen Schmidhuber (2012). “Multi-column deep neural networks for image classification”. 2012 IEEE Conference on Computer Vision and Pattern Recognition. pp. 3642–3649. arXiv:1202.2745. doi:10.1109/CVPR.2012.6248110. ISBN 978-1-4673-1228-8
Kowsari, Kamran; Heidarysafa, Mojtaba; Brown, Donald E.; Meimandi, Kiana Jafari; Barnes, Laura E. (2018-05-03). “RMDL: Random Multimodel Deep Learning for Classification”. Proceedings of the 2018 International Conference on Information System and Data Mining. arXiv:1805.01890. doi:10.1145/3206098.3206111.
Ignatov, Dmitry; Ignatov, Andrey (2017-11). “Decision Stream: Cultivating Deep Decision Trees”. 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI) (Boston, MA: IEEE): 905–912. arXiv:1704.07657. doi:10.1109/ICTAI.2017.00140. ISBN 978-1-5386-3876-7 2021年2月2日閲覧。.
Ignatov, D.Yu.; Ignatov, A.D. (2017). “Decision Stream: Cultivating Deep Decision Trees”. IEEE Ictai: 905–912. arXiv:1704.07657. Bibcode: 2017arXiv170407657I. doi:10.1109/ICTAI.2017.00140. ISBN 978-1-5386-3876-7.
Ciresan, Claudiu Dan; Ueli Meier; Luca Maria Gambardella; Juergen Schmidhuber (December 2010). “Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition”. Neural Computation 22 (12): 3207–20. arXiv:1003.0358. doi:10.1162/NECO_a_00052. PMID 20858131.
"We propose a reconstruction that is accurate enough to serve as a replacement for the MNIST dataset ... we eventually had to freeze one of these datasets and call it QMNIST" Yadav. (2019). Cold Case: the Lost MNIST Digits.
Yadav and Bottou. (2019). Cold Case: the Lost MNIST Digits.
"The reconstructed training set contains 60,000 images matching each of the MNIST training images." Yadav. (2019). Cold Case: the Lost MNIST Digits.
"the first 10,000 images of the reconstructed test set match each of the MNIST test set images. The next 50,000 images are a reconstruction of the 50,000 lost MNIST test images." Yadav. (2019). Cold Case: the Lost MNIST Digits.
高校生 250人（#2100 ~ #2349）+ 国勢調査局 "Even-numbered images among the 58,100 first MNIST training set samples exactly match the digits written by writers #2100-#2349, all high school students" Yadav. (2019). Cold Case: the Lost MNIST Digits.
"The permuted MNIST (pMNIST) task feeds inputs to a model pixel-by-pixel in the order of a fixed permutation." Gu, et al. (2020). HiPPO: Recurrent Memory with Optimal Polynomial Projections.

doi.org

Kussul, Ernst; Baidyk, Tatiana (2004). “Improved method of handwritten digit recognition tested on MNIST database”. Image and Vision Computing 22 (12): 971–981. doi:10.1016/j.imavis.2004.03.008.
Zhang, Bin; Srihari, Sargur N. (2004). “Fast k-Nearest Neighbor Classification Using Cluster-Based Trees”. IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (4): 525–528. doi:10.1109/TPAMI.2004.1265868. PMID 15382657 2020年4月20日閲覧。.
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 2013年8月18日閲覧。.
Cires¸an, Dan; Ueli Meier; Jürgen Schmidhuber (2012). “Multi-column deep neural networks for image classification”. 2012 IEEE Conference on Computer Vision and Pattern Recognition. pp. 3642–3649. arXiv:1202.2745. doi:10.1109/CVPR.2012.6248110. ISBN 978-1-4673-1228-8
Kussul, Ernst; Tatiana Baidyk (2004). “Improved method of handwritten digit recognition tested on MNIST database”. Image and Vision Computing 22 (12): 971–981. doi:10.1016/j.imavis.2004.03.008 2013年9月20日閲覧。.
Ciresan, Dan Claudiu; Ueli Meier; Luca Maria Gambardella; Jürgen Schmidhuber (2011). “Convolutional neural network committees for handwritten character classification”. 2011 International Conference on Document Analysis and Recognition (ICDAR). pp. 1135–1139. doi:10.1109/ICDAR.2011.229. ISBN 978-1-4577-1350-7. オリジナルの22 February 2016時点におけるアーカイブ。 2013年9月20日閲覧。
Romanuke, Vadim (2016). “Training data expansion and boosting of convolutional neural networks for reducing the MNIST dataset error rate”. Research Bulletin of NTUU "Kyiv Polytechnic Institute" 6 (6): 29–34. doi:10.20535/1810-0546.2016.6.84115.
Kowsari, Kamran; Heidarysafa, Mojtaba; Brown, Donald E.; Meimandi, Kiana Jafari; Barnes, Laura E. (2018-05-03). “RMDL: Random Multimodel Deep Learning for Classification”. Proceedings of the 2018 International Conference on Information System and Data Mining. arXiv:1805.01890. doi:10.1145/3206098.3206111.
Ignatov, Dmitry; Ignatov, Andrey (2017-11). “Decision Stream: Cultivating Deep Decision Trees”. 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI) (Boston, MA: IEEE): 905–912. arXiv:1704.07657. doi:10.1109/ICTAI.2017.00140. ISBN 978-1-5386-3876-7 2021年2月2日閲覧。.
Ignatov, D.Yu.; Ignatov, A.D. (2017). “Decision Stream: Cultivating Deep Decision Trees”. IEEE Ictai: 905–912. arXiv:1704.07657. Bibcode: 2017arXiv170407657I. doi:10.1109/ICTAI.2017.00140. ISBN 978-1-5386-3876-7.
Keysers, Daniel; Thomas Deselaers; Christian Gollan; Hermann Ney (August 2007). “Deformation models for image recognition”. IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (8): 1422–1435. doi:10.1109/TPAMI.2007.1153. PMID 17568145.
Kégl, Balázs; Róbert Busa-Fekete (2009). “Boosting products of base classifiers”. Proceedings of the 26th Annual International Conference on Machine Learning: 497–504. doi:10.1145/1553374.1553439 2013年8月27日閲覧。.
Patrice Y. Simard; Dave Steinkraus; John C. Platt (2003). “Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis”. Proceedings of the Seventh International Conference on Document Analysis and Recognition. 1. Institute of Electrical and Electronics Engineers. pp. 958. doi:10.1109/ICDAR.2003.1227801. ISBN 978-0-7695-1960-9
Ciresan, Claudiu Dan; Ueli Meier; Luca Maria Gambardella; Juergen Schmidhuber (December 2010). “Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition”. Neural Computation 22 (12): 3207–20. arXiv:1003.0358. doi:10.1162/NECO_a_00052. PMID 20858131.

drive.google.com

Romanuke. “Parallel Computing Center (Khmelnytskyi, Ukraine) represents an ensemble of 5 convolutional neural networks which performs on MNIST at 0.21 percent error rate.”. 2016年11月24日閲覧。
Romanuke. “The single convolutional neural network best performance in 18 epochs on the expanded training data at Parallel Computing Center, Khmelnytskyi, Ukraine”. 2016年11月16日閲覧。
Romanuke. “Parallel Computing Center (Khmelnytskyi, Ukraine) gives a single convolutional neural network performing on MNIST at 0.27 percent error rate”. 2016年11月24日閲覧。

github.com

SimpleNet (2016年). “Lets Keep it simple, Using simple architectures to outperform deeper and more complex architectures”. 2020年12月3日閲覧。
SimpNet. “Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet”. Github. 2020年12月3日閲覧。
MNIST classifier. “Classify MNIST digits using Convolutional Neural Networks”. 2018年8月3日閲覧。

harvard.edu

ui.adsabs.harvard.edu

Ignatov, D.Yu.; Ignatov, A.D. (2017). “Decision Stream: Cultivating Deep Decision Trees”. IEEE Ictai: 905–912. arXiv:1704.07657. Bibcode: 2017arXiv170407657I. doi:10.1109/ICTAI.2017.00140. ISBN 978-1-5386-3876-7.

icdar2011.org

Ciresan, Dan Claudiu; Ueli Meier; Luca Maria Gambardella; Jürgen Schmidhuber (2011). “Convolutional neural network committees for handwritten character classification”. 2011 International Conference on Document Analysis and Recognition (ICDAR). pp. 1135–1139. doi:10.1109/ICDAR.2011.229. ISBN 978-1-4577-1350-7. オリジナルの22 February 2016時点におけるアーカイブ。 2013年9月20日閲覧。

ieee.org

ieeexplore.ieee.org

Ignatov, Dmitry; Ignatov, Andrey (2017-11). “Decision Stream: Cultivating Deep Decision Trees”. 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI) (Boston, MA: IEEE): 905–912. arXiv:1704.07657. doi:10.1109/ICTAI.2017.00140. ISBN 978-1-5386-3876-7 2021年2月2日閲覧。.

in2p3.fr

users.lal.in2p3.fr

Kégl, Balázs; Róbert Busa-Fekete (2009). “Boosting products of base classifiers”. Proceedings of the 26th Annual International Conference on Machine Learning: 497–504. doi:10.1145/1553374.1553439 2013年8月27日閲覧。.

jhu.edu

cis.jhu.edu

Gangaputra. “Handwritten digit database”. 2013年8月17日閲覧。

lecun.com

yann.lecun.com

LeCun. “The MNIST Handwritten Digit Database”. Yann LeCun's Website yann.lecun.com. 2020年4月30日閲覧。
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 2013年8月18日閲覧。.
Ranzato, Marc’Aurelio; Christopher Poultney; Sumit Chopra; Yann LeCun (2006). “Efficient Learning of Sparse Representations with an Energy-Based Model”. Advances in Neural Information Processing Systems 19: 1137–1144 2013年9月20日閲覧。.

microsoft.com

research.microsoft.com

Patrice Y. Simard; Dave Steinkraus; John C. Platt (2003). “Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis”. Proceedings of the Seventh International Conference on Document Analysis and Recognition. 1. Institute of Electrical and Electronics Engineers. pp. 958. doi:10.1109/ICDAR.2003.1227801. ISBN 978-0-7695-1960-9

newsmth.net

ar.newsmth.net

Platt, John C. (1999). “Using analytic QP and sparseness to speed training of support vector machines”. Advances in Neural Information Processing Systems: 557–563 2013年8月18日閲覧。.

nih.gov

pubmed.ncbi.nlm.nih.gov

Zhang, Bin; Srihari, Sargur N. (2004). “Fast k-Nearest Neighbor Classification Using Cluster-Based Trees”. IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (4): 525–528. doi:10.1109/TPAMI.2004.1265868. PMID 15382657 2020年4月20日閲覧。.
Keysers, Daniel; Thomas Deselaers; Christian Gollan; Hermann Ney (August 2007). “Deformation models for image recognition”. IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (8): 1422–1435. doi:10.1109/TPAMI.2007.1153. PMID 17568145.
Ciresan, Claudiu Dan; Ueli Meier; Luca Maria Gambardella; Juergen Schmidhuber (December 2010). “Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition”. Neural Computation 22 (12): 3207–20. arXiv:1003.0358. doi:10.1162/NECO_a_00052. PMID 20858131.