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Toward designing intelligent PDEs for computer vision An optimal control approach
Penrose Pixels for Super-Resolution
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
Learning PDEs for Image Restoration via Optimal Control
Tensor linear Laplacian discrimination (TLLD) for feature extraction
Designing Partial Differential Equations for Image Processing by Combining Differential Invariants
Learning Partial Differential Equations for Computer Vision
Learning Partial Differential Equations for Computer Vision
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