Anomaly Detection in Video Data Based on Probabilistic Latent Space Models-Reference-Cited by-同舟云学术

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Anomaly Detection in Video Data Based on Probabilistic Latent Space Models

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
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Author:

Slavic Giulia,Campo Damian,Baydoun Mohamad,Marin Pablo,Martin David,Marcenaro Lucio,Regazzoni Carlo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9119729/9122692/09122766.pdf?arnumber=9122766

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. Robust autonomous driving control using deep hybrid-learning network under rainy/snown conditions;Multimedia Tools and Applications;2024-06-13

2. A Comparative Analysis on Various Machine Learning Methods for GAN Based Video Anomaly Detection;IFIP Advances in Information and Communication Technology;2024

3. KalmanAE: Deep Embedding Optimized Kalman Filter for Time Series Anomaly Detection;IEEE Transactions on Instrumentation and Measurement;2023

4. Anomaly detection in surveillance videos: a thematic taxonomy of deep models, review and performance analysis;Artificial Intelligence Review;2022-08-27

5. Kalman and Cauchy clustering for anomaly detection based authentication of IoMTs using extreme learning machine;IET Communications;2022-07-27

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