Anomaly Detection Via Self-Organizing Map-Reference-Cited by-同舟云学术

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Anomaly Detection Via Self-Organizing Map

Published:2021-09-19 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Image Processing (ICIP)
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Author:

Li Ning,Jiang Kaitao,Ma Zhiheng,Wei Xing,Hong Xiaopeng,Gong Yihong

Funder

Research and Development

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9506008/9506009/09506433.pdf?arnumber=9506433

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MST: Multiscale Flow-Based Student–Teacher Network for Unsupervised Anomaly Detection;Electronics;2024-08-14

2. Monitoring Process Phase Sequences and Durations in Industrial Batch Processes by a Hybrid Unsupervised Learning Strategy;2024 International Conference on Control, Automation and Diagnosis (ICCAD);2024-05-15

3. IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing;IEEE Transactions on Cybernetics;2024-05

4. A Brief Review of Unsupervised Learning Algorithms for Zero-Day Attacks in Intrusion Detection Systems;2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI);2024-04-13

5. Deep Industrial Image Anomaly Detection: A Survey;Machine Intelligence Research;2024-01-15

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