4 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.CV2018
Weighted Low-Rank Approximation of Matrices and Background Modeling
Aritra Dutta, Xin Li, Peter Richtarik
We primarily study a special a weighted low-rank approximation of matrices and then apply it to solve the background modeling problem. We propose two algorithms for this purpose: o…
math.OC2017★ 4 cited
Weighted Low Rank Approximation for Background Estimation Problems
Aritra Dutta, Xin Li
Classical principal component analysis (PCA) is not robust to the presence of sparse outliers in the data. The use of the norm in the Robust PCA (RPCA) method successfully…
math.OC2017★ 2 cited
A Fast Algorithm for a Weighted Low Rank Approximation
Aritra Dutta, Xin Li
Matrix low rank approximation including the classical PCA and the robust PCA (RPCA) method have been applied to solve the background modeling problem in video analysis. Recently, i…