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Low rank matrix recovery for real-time cardiac MRI
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
◽
10.1109/isbi.2010.5490156
◽
2010
◽
Cited By ~ 58
Author(s):
Bo Zhao
◽
Justin P. Haldar
◽
Cornelius Brinegar
◽
Zhi-Pei Liang
Keyword(s):
Real Time
◽
Cardiac Mri
◽
Low Rank
◽
Matrix Recovery
◽
Rank Matrix
◽
Low Rank Matrix Recovery
◽
Low Rank Matrix
Download Full-text
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References
Performance guarantees of transformed Schatten-1 regularization for exact low-rank matrix recovery
International Journal of Machine Learning and Cybernetics
◽
10.1007/s13042-021-01361-1
◽
2021
◽
Author(s):
Zhi Wang
◽
Dong Hu
◽
Xiaohu Luo
◽
Wendong Wang
◽
Jianjun Wang
◽
...
Keyword(s):
Low Rank
◽
Matrix Recovery
◽
Performance Guarantees
◽
Rank Matrix
◽
Low Rank Matrix Recovery
◽
Low Rank Matrix
Download Full-text
Lunar Hyperspectral Image Destriping Method Using Low-Rank Matrix Recovery and Guided Profile
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
◽
10.1109/igarss39084.2020.9323799
◽
2020
◽
Author(s):
Shuheng Zhao
◽
Qiangqiang Yuan
◽
Jie Li
◽
Huanfeng Shen
◽
Liangpei Zhang
Keyword(s):
Hyperspectral Image
◽
Low Rank
◽
Matrix Recovery
◽
Rank Matrix
◽
Low Rank Matrix Recovery
◽
Low Rank Matrix
Download Full-text
Low-Rank Matrix Recovery with Composite Optimization: Good Conditioning and Rapid Convergence
Foundations of Computational Mathematics
◽
10.1007/s10208-020-09490-9
◽
2021
◽
Author(s):
Vasileios Charisopoulos
◽
Yudong Chen
◽
Damek Davis
◽
Mateo Díaz
◽
Lijun Ding
◽
...
Keyword(s):
Low Rank
◽
Rapid Convergence
◽
Composite Optimization
◽
Matrix Recovery
◽
Rank Matrix
◽
Low Rank Matrix Recovery
◽
Low Rank Matrix
◽
Good Conditioning
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Modal-Regression-Based Structured Low-Rank Matrix Recovery for Multiview Learning
IEEE Transactions on Neural Networks and Learning Systems
◽
10.1109/tnnls.2020.2980960
◽
2020
◽
pp. 1-13
Author(s):
Jiamiao Xu
◽
Fangzhao Wang
◽
Qinmu Peng
◽
Xinge You
◽
Shuo Wang
◽
...
Keyword(s):
Low Rank
◽
Matrix Recovery
◽
Multiview Learning
◽
Rank Matrix
◽
Modal Regression
◽
Low Rank Matrix Recovery
◽
Low Rank Matrix
Download Full-text
Localizing scene texts by fuzzy inference systems and low rank matrix recovery model
Computer Vision and Image Understanding
◽
10.1016/j.cviu.2015.10.002
◽
2016
◽
Vol 142
◽
pp. 94-110
◽
Cited By ~ 7
Author(s):
Shaho Ghanei
◽
Karim Faez
Keyword(s):
Fuzzy Inference
◽
Low Rank
◽
Fuzzy Inference Systems
◽
Recovery Model
◽
Matrix Recovery
◽
Rank Matrix
◽
Inference Systems
◽
Low Rank Matrix Recovery
◽
Low Rank Matrix
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A Hyperspectral Image Denoising Approach via Low-Rank Matrix Recovery and Greedy Bilateral
10.1109/rivf51545.2021.9642145
◽
2021
◽
Author(s):
Anh Tuan Vuong
◽
Van Ha Tang
◽
Long Thanh Ngo
Keyword(s):
Image Denoising
◽
Hyperspectral Image
◽
Low Rank
◽
Matrix Recovery
◽
Rank Matrix
◽
Low Rank Matrix Recovery
◽
Low Rank Matrix
Download Full-text
Low-Rank Matrix Recovery With Simultaneous Presence of Outliers and Sparse Corruption
IEEE Journal of Selected Topics in Signal Processing
◽
10.1109/jstsp.2018.2876604
◽
2018
◽
Vol 12
(6)
◽
pp. 1170-1181
Author(s):
Mostafa Rahmani
◽
George K. Atia
Keyword(s):
Low Rank
◽
Simultaneous Presence
◽
Matrix Recovery
◽
Rank Matrix
◽
Low Rank Matrix Recovery
◽
Low Rank Matrix
Download Full-text
Robust Multi-view Subspace Learning Through Structured Low-Rank Matrix Recovery
Pattern Recognition and Computer Vision - Lecture Notes in Computer Science
◽
10.1007/978-3-030-03338-5_36
◽
2018
◽
pp. 427-439
Author(s):
Jiamiao Xu
◽
Xinge You
◽
Qi Zheng
◽
Fangzhao Wang
◽
Peng Zhang
Keyword(s):
Subspace Learning
◽
Low Rank
◽
Matrix Recovery
◽
Rank Matrix
◽
Low Rank Matrix Recovery
◽
Low Rank Matrix
Download Full-text
Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization
SIAM Journal on Optimization
◽
10.1137/100811404
◽
2011
◽
Vol 21
(4)
◽
pp. 1614-1640
◽
Cited By ~ 108
Author(s):
Massimo Fornasier
◽
Holger Rauhut
◽
Rachel Ward
Keyword(s):
Least Squares
◽
Low Rank
◽
Iteratively Reweighted Least Squares
◽
Matrix Recovery
◽
Rank Matrix
◽
Low Rank Matrix Recovery
◽
Low Rank Matrix
◽
Least Squares Minimization
Download Full-text
Design strategy of thresholding operator for low-rank matrix recovery problem
Signal Processing
◽
10.1016/j.sigpro.2020.107510
◽
2020
◽
Vol 171
◽
pp. 107510
◽
Cited By ~ 1
Author(s):
Fujun Zhao
◽
Jigen Peng
◽
Angang Cui
Keyword(s):
Design Strategy
◽
Low Rank
◽
Matrix Recovery
◽
Rank Matrix
◽
Low Rank Matrix Recovery
◽
Low Rank Matrix
◽
Recovery Problem
Download Full-text
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