Background Modeling via Subspace Tracking

1. GROUSE (10 papers)

L. Balzano, R. Nowak, B. Recht, “Online identification and tracking of subspaces from highly incomplete information", Allerton Conference on Communication, Control and Computing, 2010.

L. Balzano, S. Wright, “On GROUSE and Incremental SVD", IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing CAMSAP 2013, pages 1–4, 2013.

L. Balzano, S. Wright, “Local Convergence of an Algorithm for Subspace Identification from Partial Data", 2013.

P. Xiao, L. Balzano, “Online Sparse and Orthogonal Subspace Estimation from Partial Information", Allerton Conference on Communication, Control, and Computing, Allerton 2016, 284–291, 2016.

D. Zhang, L. Balzano, “Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation", International Conference on Artificial Intelligence and Statistics, 1460–1468, 2016.

G. Ongie, D. Hong, D. Zhang, L. Balzano, “Online Estimation of Coherent Subspaces with Adaptive Sampling", IEEE Workshop on Statistical Signal Processing, 2017.

G. Ongie, D. Hong, L. Balzano, D. Zhang, “Enhanced Online Subspace Estimation via Adaptive Sensing", Asilomar Confernce on Signals, Systems, and Computers, 2018.

R. Kennedy, R. Taylor, L. Balzano, “Online Completion of Ill-Conditioned Low-Rank Matrices", IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014, 507–511, 2014.

L. Balzano., Y. Chi, Y. Luz, "Streaming PCA and Subspace Tracking: The Missing Data Case", Proceedings of IEEE, July 2018.

L Balzano, “On the equivalence of Oja's algorithm and GROUSE”, International Conference on Artificial Intelligence and Statistics, AISTATS 2022, Valencia, Spain, March 2022.

2. PETRELS (5 papers)

Y. Chi, Y. Eldar, R. Calderbank, "PETRELS: Subspace Estimation and Tracking from Partial Observations", International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012, 2012.

Y. Chi, R. Calderbank, Y. Eldar, “PETRELS: Parallel subspace estimation and tracking by recursive least squares from partial observations", IEEE Transactions on Signal Processing, Volume 61, No. 23, pages 5947–5959, 2013.

N. Linh-Trung, V. Nguyen, M. Thameri, T. Minh-Chinh, K. Abed-Meraim, "Low-complexity adaptive algorithms for robust subspace tracking", IEEE Journal of Selected Topics in Signal Processing, Volume 12, No. 6, pages 1197-1212, 2018.

L. Trung-Thanh, V. Nguyen, N. Linh-Trung, K. Abed-Meraim, "Robust Subspace Tracking with Missing Data and Outliers via ADMM", European Signal Processing Conference, EUSIPCO 2019, 2019.

L. Thanh, N. Dung, N. Linhtrung, K. Abed Meraim, "Robust Subspace Tracking with Missing Data and Outliers: Novel Algorithm with Convergence Guarantee", IEEE Transactions on Signal Processing, 2021.

3. ST Miss/Robust ST Miss/Fed ST Miss (6 papers)

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, pages 1867-1871, July 2019.

P. Narayanamurthy, N. Vaswani, A. Ramamoorth, "Federated Over-the-Air Subspace Learning from Incomplete Data", Preprint, February 2021.

P. Narayanamurthy, N. Vaswani, A. Ramamoorthy, "Federated Over-Air Robust Subspace Tracking from Missing Data", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Volume 5598-5602, 2022.

P. Narayanamurthy, N. Vaswani, A. Ramamoorthy, "Federated Over-Air Subspace Tracking from Incomplete and Corrupted Data", IEEE Transactions on Signal Processing, 2022.