Matrix Completion Via Reweighted Logarithmic Norm Minimization

This article likely presents a novel method for matrix completion, a common problem in machine learning. The approach involves minimizing the reweighted logarithmic norm. The focus is on a specific mathematical technique for filling in missing values in a matrix, potentially improving upon existing methods. The source, ArXiv, suggests this is a research paper.