Unsupervised Anomaly Detection With Variational Autoencoders Applied to Full‐Disk Solar Images
Abstract Deep learning is successful in many fields due to its ability to learn strong feature representations without the need for hand‐crafted features, resulting in models with high representational power. However, many of these models are based on supervised learning and therefore depend on the...
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Main Authors: | Marius Giger, André Csillaghy |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-02-01
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Series: | Space Weather |
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Online Access: | https://doi.org/10.1029/2023SW003516 |
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