Shun Fang

Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition

Robust principal component analysis (RPCA) is widely studied in computer vision. Recently an adaptive rank estimate based RPCA has achieved top performance in low-level vision tasks without the prior rank, but both the rank estimate and RPCA optimization algorithm involve singular value decompositio…