Unsupervised Outlier Detection via Transformation Invariant Autoencoder

Author:

Cheng Zhen,Zhu En,Wang Siqi,Zhang Pei,Li Wang

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation

National University of Defense Technology (NUDT) Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 13 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. A Flexible and Accurate Additive Manufacturing Data Retrieval Method Based on Probabilistic Modeling and Transformation-Invariant Feature Learning;Journal of Computing and Information Science in Engineering;2024-05-31

2. Human-Centered Interaction in Virtual Worlds: A New Era of Generative Artificial Intelligence and Metaverse;International Journal of Human–Computer Interaction;2024-02-27

3. Outliers—Do Image and Feature Domain Outliers Coincide in Robotic Applications?;Mechanisms and Machine Science;2024

4. AT-densenet with salp swarm optimization for outlier prediction;International Journal of Computers and Applications;2023-10-26

5. Low-Light Image Reconstruction Based On Improved Convolutional Autoencoder;2023 5th International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT);2023-09-22

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