Deep Convolutional Self-Organizing Map Network for Robust Handwritten Digit Recognition

Deep Convolutional Self-Organizing Map Network for Robust Handwritten Digit Recognition

Deep Convolutional Neural Networks (DCNN) are currently the predominant technique commonly used to learn visual features from images. However, the complex structure of most recent DCNNs impose two major requirements namely, huge labeled dataset and high computational resources. In this paper, we dev...

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Bibliographic Details
Main Authors: Saleh Aly, Sultan Almotairi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep convolutional self-organizing map
DCSOM
unsupervised feature learning
robust handwritten digit recognition
Online Access:https://ieeexplore.ieee.org/document/9110900/

Internet

https://ieeexplore.ieee.org/document/9110900/

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