Deterministic Column Sampling for Low-Rank Matrix Approximation: Nyström vs. Incomplete Cholesky Decomposition

Proceedings of the 2016 SIAM International Conference on Data Mining ◽

10.1137/1.9781611974348.67 ◽

2016 ◽

Author(s):

Raajen Patel ◽

Tom Goldstein ◽

Eva Dyer ◽

Azalia Mirhoseini ◽

Richard Baraniuk

Keyword(s):

Cholesky Decomposition ◽

Low Rank ◽

Matrix Approximation ◽

Rank Matrix ◽

Low Rank Matrix ◽

Incomplete Cholesky Decomposition ◽

Low Rank Matrix Approximation

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A Diagnostic Biomarker for Breast Cancer Screening via Hilbert Embedded Deep Low-Rank Matrix Approximation

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3085956 ◽

2021 ◽

pp. 1-1

Author(s):

Bardia Yousefi ◽

Hossein Memarzadeh Sharifipour ◽

Xavier P.V. Maldague

Keyword(s):

Breast Cancer ◽

Cancer Screening ◽

Breast Cancer Screening ◽

Low Rank ◽

Matrix Approximation ◽

Diagnostic Biomarker ◽

Rank Matrix ◽

Low Rank Matrix ◽

Low Rank Matrix Approximation

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Adaptive Local Low-rank Matrix Approximation for Recommendation

ACM Transactions on Information Systems ◽

10.1145/3360488 ◽

2019 ◽

Vol 37 (4) ◽

pp. 1-34 ◽

Author(s):

Huafeng Liu ◽

Liping Jing ◽

Yuhua Qian ◽

Jian Yu

Keyword(s):

Low Rank ◽

Matrix Approximation ◽

Rank Matrix ◽

Low Rank Matrix ◽

Low Rank Matrix Approximation

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Pilot decontamination in massive multiuser MIMO systems based on low-rank matrix approximation

IET Communications ◽

10.1049/iet-com.2018.5654 ◽

2019 ◽

Vol 13 (5) ◽

pp. 594-600 ◽

Author(s):

Muamer Hawej ◽

Yousef R. Shayan

Keyword(s):

Mimo Systems ◽

Low Rank ◽

Matrix Approximation ◽

Multiuser Mimo ◽

Rank Matrix ◽

Low Rank Matrix ◽

Multiuser Mimo Systems ◽

Low Rank Matrix Approximation

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Convergence of Gradient Descent for Low-Rank Matrix Approximation

IEEE Transactions on Information Theory ◽

10.1109/tit.2015.2448695 ◽

2015 ◽

Vol 61 (8) ◽

pp. 4451-4457 ◽

Author(s):

Renaud-Alexandre Pitaval ◽

Wei Dai ◽

Olav Tirkkonen

Keyword(s):

Gradient Descent ◽

Low Rank ◽

Matrix Approximation ◽

Rank Matrix ◽

Low Rank Matrix ◽

Low Rank Matrix Approximation

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Fast Nyström for Low Rank Matrix Approximation

Advanced Data Mining and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-35527-1_38 ◽

2012 ◽

pp. 456-464

Author(s):

Huaxiang Zhang ◽

Zhichao Wang ◽

Linlin Cao

Keyword(s):

Low Rank ◽

Matrix Approximation ◽

Rank Matrix ◽

Low Rank Matrix ◽

Low Rank Matrix Approximation

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Desert seismic noise suppression based on an improved low-rank matrix approximation method

Journal of Applied Geophysics ◽

10.1016/j.jappgeo.2019.103926 ◽

2020 ◽

Vol 173 ◽

pp. 103926

Author(s):

Juan Li ◽

Wei Fan ◽

Yue Li ◽

Baojun Yang ◽

Changgang Lu

Keyword(s):

Approximation Method ◽

Seismic Noise ◽

Noise Suppression ◽

Low Rank ◽

Matrix Approximation ◽

Rank Matrix ◽

Low Rank Matrix ◽

Low Rank Matrix Approximation

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Image restoration via patch orientation-based low-rank matrix approximation and nonlocal means

Journal of Electronic Imaging ◽

10.1117/1.jei.25.2.023021 ◽

2016 ◽

Vol 25 (2) ◽

pp. 023021 ◽

Author(s):

Di Zhang ◽

Jiazhong He ◽

Minghui Du

Keyword(s):

Image Restoration ◽

Low Rank ◽

Matrix Approximation ◽

Nonlocal Means ◽

Rank Matrix ◽

Low Rank Matrix ◽

Low Rank Matrix Approximation

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SAR Target Recognition via Joint Manifold Regularized Low-Rank Matrix Approximation

2018 19th International Radar Symposium (IRS) ◽

10.23919/irs.2018.8448099 ◽

2018 ◽

Author(s):

Meiting Yu ◽

Siqian Zhang ◽

Linbin Zhang ◽

Lingjun Zhao ◽

Gangyao Kuang

Keyword(s):

Target Recognition ◽

Low Rank ◽

Matrix Approximation ◽

Rank Matrix ◽

Low Rank Matrix ◽

Sar Target Recognition ◽

Low Rank Matrix Approximation

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A Low-Rank Matrix Approximation Approach to Multiway Matching with Applications in Multi-Sensory Data Association

2020 IEEE International Conference on Robotics and Automation (ICRA) ◽

10.1109/icra40945.2020.9196583 ◽

2020 ◽

Author(s):

Spyridon Leonardos ◽

Xiaowei Zhou ◽

Kostas Daniilidis

Keyword(s):

Data Association ◽

Low Rank ◽

Matrix Approximation ◽

Approximation Approach ◽

Sensory Data ◽

Rank Matrix ◽

Low Rank Matrix ◽

Low Rank Matrix Approximation

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Nonnegative low rank matrix approximation for nonnegative matrices

Applied Mathematics Letters ◽

10.1016/j.aml.2020.106300 ◽

2020 ◽

Vol 105 ◽

pp. 106300

Author(s):

Guang-Jing Song ◽

Michael K. Ng

Keyword(s):

Low Rank ◽

Nonnegative Matrices ◽

Matrix Approximation ◽

Rank Matrix ◽

Low Rank Matrix ◽

Low Rank Matrix Approximation

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