Weighted Low Rank Matrix Approximation and Acceleration

no code implementations • 22 Sep 2021 • Elena Tuzhilina, Trevor Hastie

Low-rank matrix approximation is one of the central concepts in machine learning, with applications in dimension reduction, de-noising, multivariate statistical methodology, and many more.

Dimensionality Reduction Low-Rank Matrix Completion +1