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#data-recovery News & Analysis

2 articles tagged with #data-recovery. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Feb 275/107
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Learning to reconstruct from saturated data: audio declipping and high-dynamic range imaging

Researchers have developed a self-supervised learning method that can reconstruct audio and images from clipped/saturated measurements without requiring ground truth training data. The approach extends self-supervised learning to non-linear inverse problems and performs nearly as well as fully supervised methods while using only clipped measurements for training.

AINeutralarXiv – CS AI · Mar 34/105
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Reparameterized Tensor Ring Functional Decomposition for Multi-Dimensional Data Recovery

Researchers propose a reparameterized Tensor Ring functional decomposition method that uses Implicit Neural Representations to improve multi-dimensional data recovery tasks. The approach addresses limitations in high-frequency modeling through structured reparameterization and demonstrates superior performance in image processing and point cloud recovery applications.