Hardware Acceleration on Cloud Services: The use of Restricted Boltzmann Machines on Handwritten Digits Recognition-Reference-Cited by-同舟云学术

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Hardware Acceleration on Cloud Services: The use of Restricted Boltzmann Machines on Handwritten Digits Recognition

Published:2018-02 Issue:1 Volume:3 Page:483-495
ISSN:2415-6698
Container-title:Advances in Science, Technology and Engineering Systems Journal
language:
Short-container-title:Adv. sci. technol. eng. syst. j.

Author:

Bougioukou Eleni,Toulgaridis Nikolaos,Varsamou Maria,Antonakopoulos Theodore

Publisher

ASTES Journal

Subject

Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)

Link

https://www.astesj.com/publications/ASTESJ_030159.pdf

Reference22 articles.

1. Smola and S. VishwanathanKevin, Introduction to Machine Learning. Cambridge, UK: Cambridge University Press, 2008.

2. Fischer and C. Igel, "An introduction to restricted boltzmann machines.," in CIARP (L. Alvarez, M. Mejail, L. G. Deniz, and J. C. Jacobo, eds.), vol. 7441 of Lecture Notes in Computer Science, pp. 14-36, Springer, 2012.

3. Fischer and C. Igel, "Training restricted Boltzmann machines," Pattern Recogn., vol. 47, pp. 25-39, Jan. 2014.

4. Bougioukou, N. Toulgaridis, and T. Antonakopoulos, "Cloud services using hardware accelerators: The case of handwritten digits recognition," in Proceedings of the 6th International Conference on Modern Circuits and Systems Technologies (MOCAST), (Thessaloniki), 4-6 May 2017.

5. Toulgaridis, E. Bougioukou, and T. Antonakopoulos, "Architecture and implementation of a restricted Boltzmann machine for handwritten digit recognition," in Proceedings of the 6th International Conference on Modern Circuits and Systems Technologies (MOCAST), (Thessaloniki), 4-6 May 2017.

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1. Convolutional Vision Transformer for Handwritten Digit Recognition;2022-08-25

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