Retracted : Optimizing the convolutional network layers using the Viola–Jones framework and ternary weight networks-Reference-Cited by-同舟云学术

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Retracted : Optimizing the convolutional network layers using the Viola–Jones framework and ternary weight networks

Published:2021-05-09 Issue:8 Volume:36 Page:4237-4279
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Al‐Gabalawy Mostafa¹^ORCID

Affiliation:

1. Department of Digital Media Technology, Faculty of Computers and Information Technology Future University in Egypt Cairo Egypt

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22457

Reference56 articles.

1. SeymourA. Papert. The summer vision project; 1966.

2. TouvronH VedaldiA DouzeM JégouH. Fixing the train‐test resolution discrepancy: Fixefficientnet. arXiv preprint arXiv:2003.08237;2020.

3. ImageNet Large Scale Visual Recognition Challenge

4. LeCunY CortesC BurgesCJ. Mnist handwritten digit database. ATT Labs; 2010.http://yann.lecun.com/exdb/mnist

5. KrizhevskyA. Learning multiple layers of features from tiny images; 2009.

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1. Retraction: Optimizing the convolutional network layers using the Viola–Jones framework and ternary weight networks;International Journal of Intelligent Systems;2021-10-08

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