• Corpus ID: 247762757

Coarse to Fine Two-Stage Approach to Robust Tensor Completion of Visual Data

@inproceedings{He2021CoarseTF,
  title={Coarse to Fine Two-Stage Approach to Robust Tensor Completion of Visual Data},
  author={Yicong He and George K. Atia},
  year={2021}
}
—Tensor completion is the problem of estimating the missing values of high-order data from partially observed entries. Data corruption due to prevailing outliers poses major challenges to traditional tensor completion algorithms, which catalyzed the development of robust tensor completion algorithms that alleviate the effect of outliers. However, existing robust methods largely presume that the corruption is sparse, which may not hold in practice. In this paper, we develop a two-stage robust… 

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References

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  • 2020
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