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Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
Federated Principal Component Analysis Revisited!
Streaming, Memory-Limited, r-truncated SVD Revisited!
MATLAB implementation of "Provable Dynamic Robust PCA or Robust Subspace tracking", IEEE Transactions on Information Theory, 2019.
[IEEE TSP 2021] “Robust Subspace Tracking with Missing Data and Outliers: Novel Algorithm with Convergence Guarantee”. IEEE Transactions on Signal Processing, 2021.
MATLAB implementation of "Phaseless Low Rank Matrix Recovery and Subspace Tracking", ICML 2019, longer version to appear in IEEE Transactions on Information Theory, 2020.
MATLAB implementation of "Nearly Optimal Robust Subspace Tracking", ICML 2018. Longer version to appear in IEEE Journal of Selected Areas in Information Theory, 2020.
[IEEE TSP 2024] "OPIT: A Simple but Effective Sparse Subspace Tracking". In IEEE Transactions on Signal Process. 2024
[IEEE ICASSP 2023] "Robust Subspace Tracking with Contamination Mitigation via Alpha-Divergence". In 48th IEEE International Conference on Acoustics, Speech, & Signal Processing, 2023.
MATLAB implementation of "Provable Subspace Tracking from Missing Data and Matrix Completion", IEEE Transactions on Signal Processing, 2019.
[ISCIT 2025] aOPIT: Robust Sparse Subspace Tracking from Corrupted Data Observations. In 2025 24th IEEE International Symposium on Communications and Information Technologies
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