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cs.CV2025
Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach
Chen Luo, Qiyu Jin, Taofeng Xie +7
Interpolating missing data in k-space is essential for accelerating imaging. However, existing methods, including convolutional neural network-based deep learning, primarily exploi…
cs.CV2025
Quaternion Nuclear Norms Over Frobenius Norms Minimization for Robust Matrix Completion
Yu Guo, Guoqing Chen, Tieyong Zeng +2
Recovering hidden structures from incomplete or noisy data remains a pervasive challenge across many fields, particularly where multi-dimensional data representation is essential.…