A Novel Two-Fold Loss Function for Data Clustering and Reconstruction: Application to Document Analysis
In the midst of the ongoing COVID-19 pandemic, there has been a surge in scientific literature aimed at understanding the virus and its impact. However, it has become challenging for a researcher to deal with thousands of articles published daily. This paper proposes a novel deep-learning architectu...
Main Authors: | Mebarka Allaoui, Mohammed Lamine Kherfi, Oussama Aiadi, Samir Brahim Belhaouari |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10242111/ |
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