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Pattern Recognition Letters, ISSN 0167-8655, 07/2014, Volume 43, Issue 1, pp. 47 - 61
•We study the problem of clustering data lying approximately on multiple subspaces.•We solve this problem by applying spectral clustering to a learned affinity... 
Subspace clustering | Face clustering | Motion segmentation | Low-rank and sparse methods | Principal component analysis | MULTIBODY FACTORIZATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Drying Technology, ISSN 0737-3937, 02/2009, Volume 27, Issue 3, pp. 403 - 415
Despite their vast reserves, low-rank coals are considered undesirable because their high moisture content entails high transportation costs, potential safety... 
Readsorption | Spontaneous combustion | Heat treatment | Blending | Moisture content | Low-rank coal | Coal drying | COAL RANK | MOISTURE | DRYING | TECHNOLOGY ASSESSMENT | 01 COAL, LIGNITE, AND PEAT | SPONTANEOUS COMBUSTION | LIGNITE
Journal Article
Journal Article
IEEE Transactions on Cybernetics, ISSN 2168-2267, 08/2016, Volume 46, Issue 8, pp. 1900 - 1913
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 2020, Volume 29, pp. 3254 - 3269
In this paper, we propose a novel approach to the rank minimization problem, termed rank residual constraint (RRC) model. Different from existing low-rank... 
rank residual constraint | Low-rank | image restoration | nuclear norm minimization | nonlocal self-similarity | group-based sparse representation | THRESHOLDING ALGORITHM | NOISE | QUALITY ASSESSMENT | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | SPARSE REPRESENTATION | DCT | REDUCTION | ARTIFACTS | REGULARIZATION
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 09/2017, Volume 18, pp. 1 - 29
Recently, fundamental conditions on the sampling patterns have been obtained for finite completability of low-rank matrices or tensors given the corresponding... 
Tucker rank | CP rank | Manifold | Matrix | Tensor | Low-rank data completion | Tensor-train rank | Multi-view matrix | Rank estimation | rank estimation | tensor-train rank | multi-view matrix | manifold | tensor | matrix | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Pattern Recognition, ISSN 0031-3203, 10/2017, Volume 70, pp. 112 - 125
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 12/2014, Volume 25, Issue 12, pp. 2167 - 2179
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 11/2016, Volume 27, Issue 11, pp. 2268 - 2281
Recently, low-rank representation (LRR) has shown promising performance in many real-world applications such as face clustering. However, LRR may not achieve... 
Closed-form solutions | kernel methods | Linear programming | Robustness | Low-rank representation (LRR) | Face | Kernel | Optimization | Convergence | Kernel methods | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | ALGORITHM | COMPUTER SCIENCE, THEORY & METHODS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Medical Physics, ISSN 0094-2405, 09/2018, Volume 45, Issue 9, pp. 4066 - 4084
Purpose Magnetic resonance fingerprinting (MRF) is a relatively new approach that provides quantitative MRI measures using randomized acquisition. Extraction... 
MRF | compressed sensing | low rank | QMRI | SPARSITY | RECONSTRUCTION | QUANTIFICATION | RELAXATION-TIMES ESTIMATION | THRESHOLDING ALGORITHM | ACCELERATED DYNAMIC MRI | TRUEFISP | T-1 | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Journal Article