Website

This part gives links to web sites on robust subspace learning via decomposition into low-rank plus additive matrices.

Note: Feel free to contact me at tbouwman at univ-lr.fr to add other links.

• Robust Principal Component Analysis (21 websites)

• Robust Non-negative Matrix Factorization (0)

• Robust Matrix Completion (0)

• Robust Subspace Recovery (0)

• Robust Subspace Tracking (4 websites)

• Robust Low Rank Minimization (4 websites)

Fair Use Policy

As this website gives many information that come from my research, please cite my following survey papers:

T. Bouwmans, A. Sobral, S. Javed, S. Jung, E. Zahzah, "Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset", Computer Science Review, Volume 23, pages 1-71, February 2017. [pdf]

T. Bouwmans, E. Zahzah, “Robust PCA via Principal Component Pursuit: A Review for a Comparative Evaluation in Video Surveillance”, Special Issue on Background Models Challenge, Computer Vision and Image Understanding, CVIU 2014, Volume 122, pages 22–34, May 2014. [pdf]

Note: My publications are available on Academia, ResearchGate, Researchr, ORCID and PublicationList.