outliers. The use of the l_1 norm in the Robust PCA (RPCA) method successfully eliminates
this weakness of PCA in separating the sparse outliers. Here we propose a weighted low
rank (WLR) method, where a simple weight is inserted inside the Frobenius norm. We
demonstrate how this method tackles often computationally expensive algorithms that rely
on the l_1 norm. As a proof of concept, we present a background estimation model based on …