Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization

Matrix Recovery ◽

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 ◽

Matrix Recovery ◽

Rank Matrix ◽

Low Rank Matrix Recovery ◽

Low Rank Matrix ◽

Alternating Iteratively Reweighted Least Squares Minimization for Low-Rank Matrix Factorization

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2018.2883921 ◽

2019 ◽

Vol 67 (2) ◽

pp. 490-503 ◽

Cited By ~ 3

Author(s):

Paris V. Giampouras ◽

Athanasios A. Rontogiannis ◽

Konstantinos D. Koutroumbas

Keyword(s):

Least Squares ◽

Matrix Factorization ◽

Low Rank ◽

Rank Matrix ◽

Low Rank Matrix ◽

Convergence and stability of iteratively reweighted least squares for low-rank matrix recovery

Inverse Problems & Imaging ◽

10.3934/ipi.2017030 ◽

2017 ◽

Vol 11 (4) ◽

pp. 643-661 ◽

Cited By ~ 2

Author(s):

Yun Cai ◽

◽

Song Li ◽

Keyword(s):

Least Squares ◽

Low Rank ◽

Matrix Recovery ◽

Convergence And Stability ◽

Rank Matrix ◽

Low Rank Matrix Recovery ◽

Low Rank Matrix

Harmonic Mean Iteratively Reweighted Least Squares for low-rank matrix recovery

2017 International Conference on Sampling Theory and Applications (SampTA) ◽

10.1109/sampta.2017.8024466 ◽

2017 ◽

Cited By ~ 1

Author(s):

Christian Kummerle ◽

Juliane Sigl

Keyword(s):

Least Squares ◽

Harmonic Mean ◽

Low Rank ◽

Matrix Recovery ◽

Rank Matrix ◽

Low Rank Matrix Recovery ◽

Low Rank Matrix

Subspace based low rank & joint sparse matrix recovery

2014 48th Asilomar Conference on Signals, Systems and Computers ◽

10.1109/acssc.2014.7094525 ◽

2014 ◽

Cited By ~ 1

Author(s):

Sampurna Biswas ◽

Sunrita Poddar ◽

Soura Dasgupta ◽

Raghuraman Mudumbai ◽

Mathews Jacob

Keyword(s):

Sparse Matrix ◽

Low Rank ◽

Matrix Recovery

Iteratively Reweighted Least Squares

Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares

2019 13th International conference on Sampling Theory and Applications (SampTA) ◽

10.1109/sampta45681.2019.9030959 ◽

2019 ◽

Author(s):

Christian Kummerle ◽

Claudio M. Verdun

Keyword(s):

Least Squares ◽

Low Rank ◽

Low-rank and sparse matrix recovery based on a randomized rank-revealing decomposition

2017 22nd International Conference on Digital Signal Processing (DSP) ◽

10.1109/icdsp.2017.8096137 ◽

2017 ◽

Cited By ~ 3

Author(s):

Maboud F. Kaloorazi ◽

Rodrigo C. de Lamare

Keyword(s):

Sparse Matrix ◽

Low Rank ◽

Matrix Recovery ◽

Rank Revealing

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

Hyperspectral image compressed sensing via low-rank and joint-sparse matrix recovery

10.1109/icassp.2012.6288484 ◽

2012 ◽

Cited By ~ 82

Author(s):

Mohammad Golbabaee ◽

Pierre Vandergheynst

Keyword(s):

Compressed Sensing ◽

Hyperspectral Image ◽

Sparse Matrix ◽

Low Rank ◽

Matrix Recovery

Fast Iteratively Reweighted Least Squares Minimization for Sparse Recovery

2018 IEEE 23rd International Conference on Digital Signal Processing (DSP) ◽

10.1109/icdsp.2018.8631827 ◽

2018 ◽

Author(s):

Kaihui Liu ◽

Liangtian Wan ◽

Feiyu Wang

Keyword(s):

Least Squares ◽

Sparse Recovery ◽

Iteratively reweighted least squares minimization for sparse recovery

Communications on Pure and Applied Mathematics ◽

10.1002/cpa.20303 ◽

2010 ◽

Vol 63 (1) ◽

pp. 1-38 ◽

Cited By ~ 634

Author(s):

Ingrid Daubechies ◽

Ronald DeVore ◽

Massimo Fornasier ◽

C. Si̇nan Güntürk

Keyword(s):

Least Squares ◽

Sparse Recovery ◽