Common Knowledge Based and One-Shot Learning Enabled Multi-Task Traffic Classification

Common Knowledge Based and One-Shot Learning Enabled Multi-Task Traffic Classification

Deep neural networks have been used for traffic classifications and promising results have been obtained. However, most of the previous work confined to one specific task of the classification, where restricts the classifier potential performance and application areas. The traffic flow can be labele...

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Bibliographic Details
Main Authors: Haifeng Sun, Yunming Xiao, Jing Wang, Jingyu Wang, Qi Qi, Jianxin Liao, Xiulei Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Traffic classification
multi-task model
transfer learning
one-shot learning
Online Access:https://ieeexplore.ieee.org/document/8664141/

Internet

https://ieeexplore.ieee.org/document/8664141/

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