The following publications are possibly variants of this publication:
- Subspace-Orbit Randomized Decomposition for Low-Rank Matrix ApproximationsMaboud F. Kaloorazi, Rodrigo C. de Lamare. tsp, 66(16):4409-4424, 2018. [doi]
- Low-rank Matrix Approximation Based on Intermingled Randomized DecompositionMaboud Farzaneh Kaloorazi, Jie Chen. icassp 2019: 7475-7479 [doi]
- Compressed Randomized Utv Decompositions for Low-rank Matrix Approximations in Data ScienceMaboud Farzaneh Kaloorazi, Rodrigo C. de Lamare. icassp 2019: 7510-7514 [doi]
- Compressed Randomized UTV Decompositions for Low-Rank Matrix ApproximationsMaboud F. Kaloorazi, Rodrigo C. de Lamare. jstsp, 12(6):1155-1169, 2018. [doi]
- Low-rank and sparse matrix recovery based on a randomized rank-revealing decompositionMaboud F. Kaloorazi, Rodrigo C. de Lamare. icdsp 2017: 1-5 [doi]
- Efficient Low-Rank Approximation of Matrices Based on Randomized Pivoted DecompositionMaboud Farzaneh Kaloorazi, Jie Chen 0022. tsp, 68:3575-3589, 2020. [doi]
- Randomized Rank-Revealing QLP for Low-Rank Matrix DecompositionMaboud F. Kaloorazi, Kai Liu, Jie Chen 0022, Rodrigo C. de Lamare, Susanto Rahardja. access, 11:63650-63666, 2023. [doi]