Background Modeling via RSL

F. De La Torre, M. Black, “Robust Principal Component Analysis for Computer Vision”, International Conference on Computer Vision, ICCV 2001, Vancouver, Canada, July 2001.

F. De La Torre, M. Black, “A framework for robust subspace learning”, International Journal on Computer Vision, pages 117-142, 2003.

A. Rekavandi, A. Seghouane, "Robust Principal Component Analysis using Alpha Divergence”, IEEE International Conference on Image Processing, ICIP 2020, pages 1-6, Abu Dhabi, United Arab Emirates, 2020.

A. Rekavandi, A. Seghouane, R. Evans, "Learning Robust and Sparse Principal Components with the α-Divergence", IEEE Transactions on Image Processing, 2024.

M. Mayrhofer, U. Radojicic, P. Filzmoser, “Robust Covariance Estimation and Explainable Outlier Detection for Matrix-Valued Data”, Preprint, March 2024.