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Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization

IEEE transaction on neural networks and learning systems, 2018-10, Vol.29 (10), p.4833-4843

2018

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Spatial-Spectral Structured Sparse Low-Rank Representation for Hyperspectral Image Super-Resolution

IEEE transactions on image processing, 2021, Vol.30, p.3084-3097

2021

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Image compressive sensing reconstruction via nonlocal low-rank residual-based ADMM framework

Computer vision and image understanding, 2024-12, Vol.249, p.104204, Article 104204

2024

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Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components

Magnetic resonance in medicine, 2015-03, Vol.73 (3), p.1125-1136

2015

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Tensor Low-Rank Representation for Data Recovery and Clustering

IEEE transactions on pattern analysis and machine intelligence, 2021-05, Vol.43 (5), p.1718-1732

2021

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Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation

IEEE transactions on circuits and systems for video technology, 2021-12, Vol.31 (12), p.4784-4797

2021

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Tensor Cascaded-Rank Minimization in Subspace: A Unified Regime for Hyperspectral Image Low-Level Vision

IEEE transactions on image processing, 2023-01, Vol.PP, p.1-1

2023

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Hyperspectral image denoising by low-rank models with hyper-Laplacian total variation prior

Signal processing, 2022-12, Vol.201, p.108733, Article 108733

2022

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Improved magnetic resonance fingerprinting reconstruction with low‐rank and subspace modeling

Magnetic resonance in medicine, 2018-02, Vol.79 (2), p.933-942

2018

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Subspace Clustering via Learning an Adaptive Low-Rank Graph

IEEE transactions on image processing, 2018-08, Vol.27 (8), p.3716-3728

2018

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Robust tensor completion using transformed tensor singular value decomposition

Numerical linear algebra with applications, 2020-05, Vol.27 (3), p.n/a

2020

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Expand globally, shrink locally: Discriminant multi-label learning with missing labels

Pattern recognition, 2021-03, Vol.111, p.107675, Article 107675

2021

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StruNet: Perceptual and low‐rank regularized transformer for medical image denoising

Medical physics (Lancaster), 2023-12, Vol.50 (12), p.7654-7669

2023

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P-LORAKS: Low-rank modeling of local k-space neighborhoods with parallel imaging data

Magnetic resonance in medicine, 2016-04, Vol.75 (4), p.1499-1514

2016

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Parallel matrix factorization for low-rank tensor completion

Inverse problems and imaging (Springfield, Mo.), 2015, Vol.9 (2), p.601-624

2015

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Accelerated MR parameter mapping with low-rank and sparsity constraints

Magnetic resonance in medicine, 2015-08, Vol.74 (2), p.489-498

2015

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An overview of the estimation of large covariance and precision matrices

The econometrics journal, 2016-02, Vol.19 (1), p.C1-C32

2016

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Extreme MRI: Large‐scale volumetric dynamic imaging from continuous non‐gated acquisitions

Magnetic resonance in medicine, 2020-10, Vol.84 (4), p.1763-1780

2020

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Accelerated exponential parameterization of T2 relaxation with model-driven low rank and sparsity priors (MORASA)

Magnetic resonance in medicine, 2016-12, Vol.76 (6), p.1865-1878

2016

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Dynamical Low-Rank Integrator for the Linear Boltzmann Equation: Error Analysis in the Diffusion Limit

SIAM journal on numerical analysis, 2021-01, Vol.59 (4), p.2254-2285

2021

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Annihilation‐Net: Learned annihilation relation for dynamic MR imaging

Medical physics (Lancaster), 2024-03, Vol.51 (3), p.1883-1898

2024

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Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning

IEEE transactions on image processing, 2017-03, Vol.26 (3), p.1363-1378

2017

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Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization

IEEE transaction on neural networks and learning systems, 2022-07, Vol.PP (7), p.1-14

2022

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A Predictor-Corrector Strategy for Adaptivity in Dynamical Low-Rank Approximations

SIAM journal on matrix analysis and applications, 2023-09, Vol.44 (3), p.971-1005

2023

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Small infrared target detection based on low-rank and sparse representation

Infrared physics & technology, 2015-01, Vol.68, p.98-109

2015

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Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization

Spatial-Spectral Structured Sparse Low-Rank Representation for Hyperspectral Image Super-Resolution

Image compressive sensing reconstruction via nonlocal low-rank residual-based ADMM framework

Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components

Tensor Low-Rank Representation for Data Recovery and Clustering

Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation

Tensor Cascaded-Rank Minimization in Subspace: A Unified Regime for Hyperspectral Image Low-Level Vision

Hyperspectral image denoising by low-rank models with hyper-Laplacian total variation prior

Improved magnetic resonance fingerprinting reconstruction with low‐rank and subspace modeling

Subspace Clustering via Learning an Adaptive Low-Rank Graph

Robust tensor completion using transformed tensor singular value decomposition

Expand globally, shrink locally: Discriminant multi-label learning with missing labels

StruNet: Perceptual and low‐rank regularized transformer for medical image denoising

P-LORAKS: Low-rank modeling of local k-space neighborhoods with parallel imaging data

Parallel matrix factorization for low-rank tensor completion

Accelerated MR parameter mapping with low-rank and sparsity constraints

An overview of the estimation of large covariance and precision matrices

Extreme MRI: Large‐scale volumetric dynamic imaging from continuous non‐gated acquisitions

Accelerated exponential parameterization of T2 relaxation with model-driven low rank and sparsity priors (MORASA)

Dynamical Low-Rank Integrator for the Linear Boltzmann Equation: Error Analysis in the Diffusion Limit

Annihilation‐Net: Learned annihilation relation for dynamic MR imaging

Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning

Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization

A Predictor-Corrector Strategy for Adaptivity in Dynamical Low-Rank Approximations

Small infrared target detection based on low-rank and sparse representation

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