The Sparse Reverse of Principal Component Analysis for Fast Low-Rank Matrix Completion

no code implementations • 4 Oct 2019 • Abdallah Chehade, Zunya Shi

The proposed approach maintains smoothness across the matrix, produces accurate estimates of the missing data, converges iteratively, and it is computationally tractable with a controllable upper bound on the number of iterations until convergence.

Image Reconstruction Low-Rank Matrix Completion +4