rank minimization Latest Research Papers

A Patch-Based Low-Rank Minimization Approach for Speckle Noise Reduction in Ultrasound Images

Advances in Applied Mathematics and Mechanics ◽

10.4208/aamm.oa-2021-0011 ◽

2022 ◽

Vol 14 (1) ◽

pp. 155-180

Author(s):

global sci

Keyword(s):

Noise Reduction ◽

Speckle Noise ◽

Low Rank ◽

Ultrasound Images ◽

Rank Minimization ◽

Speckle Noise Reduction ◽

Minimization Approach

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A smoothing proximal gradient algorithm for matrix rank minimization problem

Computational Optimization and Applications ◽

10.1007/s10589-021-00337-9 ◽

2022 ◽

Author(s):

Quan Yu ◽

Xinzhen Zhang

Keyword(s):

Minimization Problem ◽

Gradient Algorithm ◽

Rank Minimization ◽

Matrix Rank ◽

Proximal Gradient Algorithm ◽

Matrix Rank Minimization

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Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence

Signal Processing ◽

10.1016/j.sigpro.2021.108425 ◽

2021 ◽

pp. 108425

Author(s):

Meng Ding ◽

Ting-Zhu Huang ◽

Xi-Le Zhao ◽

Tian-Hui Ma

Keyword(s):

Tensor Completion ◽

Rank Minimization

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New Tight Relaxations of Rank Minimization for Multi-Task Learning

10.1145/3459637.3482154 ◽

2021 ◽

Author(s):

Wei Chang ◽

Feiping Nie ◽

Rong Wang ◽

Xuelong Li

Keyword(s):

Rank Minimization ◽

Task Learning

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Rank revealing‐based tensor completion using improved generalized tensor multi‐rank minimization

IET Signal Processing ◽

10.1049/sil2.12035 ◽

2021 ◽

Author(s):

Wei Z. Sun ◽

Peng Zhang ◽

Bo Zhao

Keyword(s):

Tensor Completion ◽

Rank Minimization ◽

Rank Revealing

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Laplacian Regularized Tensor Low-Rank Minimization for Hyperspectral Snapshot Compressive Imaging

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp39728.2021.9413381 ◽

2021 ◽

Author(s):

Yi Yang ◽

Fei Jiang ◽

Hongtao Lu

Keyword(s):

Low Rank ◽

Rank Minimization ◽

Compressive Imaging

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Low-rank factorization for rank minimization with nonconvex regularizers

Computational Optimization and Applications ◽

10.1007/s10589-021-00276-5 ◽

2021 ◽

Author(s):

April Sagan ◽

John E. Mitchell

Keyword(s):

Low Rank ◽

Rank Minimization ◽

Rank Factorization

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Computational ghost imaging with 4-step iterative rank minimization

Physics Letters A ◽

10.1016/j.physleta.2021.127199 ◽

2021 ◽

Vol 394 ◽

pp. 127199

Author(s):

Heng Wu ◽

Wenhao Wu ◽

Meiyun Chen ◽

Shaojuan Luo ◽

Ruitong Zhao ◽

...

Keyword(s):

Ghost Imaging ◽

Rank Minimization

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An accelerated IRNN-Iteratively Reweighted Nuclear Norm algorithm for nonconvex nonsmooth low-rank minimization problems

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2021.113602 ◽

2021 ◽

pp. 113602

Author(s):

Duy Nhat Phan ◽

Thuy Ngoc Nguyen

Keyword(s):

Nuclear Norm ◽

Low Rank ◽

Rank Minimization ◽

Minimization Problems

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Quartic First-Order Methods for Low-Rank Minimization

Journal of Optimization Theory and Applications ◽

10.1007/s10957-021-01820-3 ◽

2021 ◽

Author(s):

Radu-Alexandru Dragomir ◽

Alexandre d’Aspremont ◽

Jérôme Bolte

Keyword(s):

Low Rank ◽

Rank Minimization ◽

First Order ◽

First Order Methods

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rank minimization
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

A Patch-Based Low-Rank Minimization Approach for Speckle Noise Reduction in Ultrasound Images

A smoothing proximal gradient algorithm for matrix rank minimization problem

Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence

New Tight Relaxations of Rank Minimization for Multi-Task Learning

Rank revealing‐based tensor completion using improved generalized tensor multi‐rank minimization

Laplacian Regularized Tensor Low-Rank Minimization for Hyperspectral Snapshot Compressive Imaging

Low-rank factorization for rank minimization with nonconvex regularizers

Computational ghost imaging with 4-step iterative rank minimization

An accelerated IRNN-Iteratively Reweighted Nuclear Norm algorithm for nonconvex nonsmooth low-rank minimization problems

Quartic First-Order Methods for Low-Rank Minimization

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rank minimizationRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

A Patch-Based Low-Rank Minimization Approach for Speckle Noise Reduction in Ultrasound Images

A smoothing proximal gradient algorithm for matrix rank minimization problem

Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence

New Tight Relaxations of Rank Minimization for Multi-Task Learning

Rank revealing‐based tensor completion using improved generalized tensor multi‐rank minimization

Laplacian Regularized Tensor Low-Rank Minimization for Hyperspectral Snapshot Compressive Imaging

Low-rank factorization for rank minimization with nonconvex regularizers

Computational ghost imaging with 4-step iterative rank minimization

An accelerated IRNN-Iteratively Reweighted Nuclear Norm algorithm for nonconvex nonsmooth low-rank minimization problems

Quartic First-Order Methods for Low-Rank Minimization

rank minimization
Recently Published Documents