Low-rank Matrix Factorization under General Mixture Noise Distributions

Xiangyong Cao, Qian Zhao, Deyu Meng +2

Many computer vision problems can be posed as learning a low-dimensional subspace from high dimensional data. The low rank matrix factorization (LRMF) represents a commonly utilize…