The aim of this web site is to provide resources such as references (2300 papers), codes and links to demonstration websites for the research on subspace learning by grouping all related researches and particularly recent advances in this field.
T. Bouwmans, "Subspace Learning Website", Laboratoire MIA, Univ. of La Rochelle, June 2018.
Fair Use Policy
This web site presents a survey on subspace learning. If you use information from this web site for publication, please cite the following papers:
N. Vaswani, T. Bouwmans, S. Javed, P. Narayanamurthy, “Robust Subspace Learning: Robust PCA, Robust Subspace Tracking and Robust Subspace Recovery”, IEEE Signal Processing Magazine, Volume 35, No. 4, pages 32-55, July 2018. [pdf]
N. Vaswani, T. Bouwmans, S. Javed, P. Narayanamurthy, “Robust PCA and Robust Subspace Tracking: A Comparative Evaluation”, IEEE Statistical Signal Processing Workshop, SSP 2018, Freiburg, Germany, June 2018.