Robust Subspace Recovery

In this category are the robust decompositions other than RPCA and RNMF decompositions.

• • Robust Subspace Discovery (RSD) (1 paper)

  • Robust Subspace Recovery (RSR) (4 papers)

  • Robust Orthonormal Subspace Learning (ROSL) (2 papers)

• Robust Orthogonal Complement Principal Component Analysis (ROPCA) (1 paper)

• Robust subspace recovery via sparsity-constrained latent low-rank representation (LSS) (1 paper)

Author: Thierry BOUWMANS, Associate Professor, Lab. MIA, Univ.  Rochelle, France.

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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, "Background/Foreground Separation via Decomposition in Low-rank and Additive Matrices: A Review for a Comparative Evaluation with a Large-Scale Dataset", to be submitted.

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]

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