CURE: Curvature Regularization for Missing Data Recovery

Missing data recovery is an important and yet challenging problem in imaging and data science. Successful models often adopt certain carefully chosen regularization. Recently, the low dimensional manifold model (LDMM) was introduced by [S. Osher, Z. Shi, and W. Zhu, Low Dimensional Manifold Model fo...

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Veröffentlicht in:SIAM journal on imaging sciences 2020-01, Vol.13 (4), p.2169-2188
Hauptverfasser: Dong, Bin, Ju, Haocheng, Lu, Yiping, Shi, Zuoqiang
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Sprache:eng
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