Wei-Guo Zhou

Robust Tensor Completion via Reflective Convolution Nuclear Norm Minimization

Robust tensor completion recovers multidimensional data from partial observations corrupted by sparse gross errors. Existing convolutional low-rank models typically construct translated copies using circular continuation, which introduces artificial wrap-around neighborhoods for finite nonperiodic data. We propose refl...