Ye-Song Xu

Dual-Fidelity Tensor Robust Principal Component Analysis Under Mixed Noise

Existing tensor robust principal component analysis (TRPCA) frameworks have achieved remarkable success in recovering low-rank structures from high-dimensional data. However, current methods often rely on a single noise distribution assumption, limiting their effectiveness in complex real-world scenarios and consequent...