GRASTA (Missing data/Outliers)
J. He, L. Balzano, J. Luiz, “Online Robust Subspace Tracking from Partial Information”, IT 2011, September 2011.
J. He, L. Balzano, A. Szlam, “Incremental Gradient on the Grassmannian for Online Foreground and Background Separation in Subsampled Video”, International on Conference on Computer Vision and Pattern Recognition, CVPR 2012, June 2012.
J. He, D. Zhang, L. Balzano, T. Tao, “Iterative Grassmannian Optimization for Robust Image Alignment”, Image and Vision Computing, June 2013.
J. He, D. Zhang, L. Balzano, T. Tao, “Iterative Online Subspace Learning for Robust Image Alignment”, IEEE Conference on Automatic Face and Gesture Recognition, FG 2013, 2013.
J. He, Y. Zhang, "Adaptive stochastic gradient descent on the Grassmannian for robust low-rank subspace recovery", Preprint, December 2014.
pROST (Outliers)
C. Hage, M. Kleinsteuber, “Robust PCA and subspace tracking from incomplete observations using l0-surrogates”, Machine Learning, 2012.
F. Seidel, C. Hage, and M. Kleinsteuber, “pROST - A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video”, Machine Vision and Applications, Special Issue on Background Modeling for Foreground Detection in Real-World Dynamic Scenes, 2014.
GOSUS (Missing data/Outliers)
J. Xu, V. Ithapu, L. Mukherjee, J. Rehg, V. Singh, "GOSUS: Grassmannian Online Subspace Updates with Structured-sparsity", International Conference on Computer Vision, ICCV 2013, December 2013.
FARST (Outliers)
J. Ahn, “Fast Adaptive Robust Subspace Tracking for Online Background Subtraction”, International Conference on Pattern Recogntion, ICPR 2014, August 2014.
APSM (Missing data/Outliers)
S. Chouvardas, Y. Kopsinis, S. Theodoridis, "An adaptive projected subgradient based algorithm for robust subspace tracking", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, pages 5497-5501, May 2014.
S. Chouvardas, Y. Kopsinis, S. Theodoridis, “Robust Subspace Tracking with Missing Entries: a Set–Theoretic approach”, IEEE Transactions on Signal Processing, 2015.
ROSETA (Missing data/Outliers)
H. Mansour, X. Jiang, “A Robust Online Subspace Estimation and Tracking Algorithm”, IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015, April 2015.
H. Mansour, "A Short Note on Improved ROSETA", Preprint, October 2017.
ROAM (Outliers)
Q. Li, W. Niu, G. Li, J. Tan, G. Xiong, L. Guo, "Riemannian optimization with subspace tracking for low-rank recovery", International Joint Conference on Neural Networks, IJCNN 2016, pages 3280-3287, 2016.
NORST (Missing data/Outliers)
P. Narayanamurthy, N. Vaswani, "Nearly Optimal Robust Subspace Tracking", IEEE International Conference on Machine Learning, ICML 2018, July 2018.
N. Vaswani, P. Narayanamurthy, "Nearly Optimal Robust Subspace Tracking: A Unified Approach", IEEE Data Science Workshop, June 2018.
P. Narayanamurthy, V. Daneshpajooh, N. Vaswani, “Subspace Tracking from Missing and Outlier Corrupted Data”, Preprint, October 2018.
P. Narayanamurthy, V. Daneshpajooh , N. Vaswani, "Provable Subspace Tracking with Missing Entries", IEEE International Symposium on Information Theory, ISIT 2019, pages1867-1871, July 2019.
P. Narayanamurthy, V. Daneshpajooh, N. Vaswani, "Provable Subspace Tracking From Missing Data and Matrix Completion", IEEE Transactions on Signal Processing, Volume 67, No. 16, pages 4245-4260, August 2019.
V. Daneshpajooh, "Subspace tracking from missing and corrupted data using NORST and its heuristic extensions", Summer Report, Iowa State University, USA, July 2019.
N Vaswani, P Narayanamurthy, "Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise", Preprint, June 2020.