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Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 07/2010, Volume 11, pp. 2057 - 2078
Given a matrix M of low-rank, we consider the problem of reconstructing it from noisy observations of a small, random subset of its entries. The problem arises... 
Low-rank matrices | Spectral methods | Manifold optimization | Matrix completion | low-rank matrices | spectral methods | matrix completion | manifold optimization | APPROXIMATIONS | ALGORITHMS | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Neural Networks, ISSN 0893-6080, 02/2018, Volume 98, pp. 34 - 41
Conventional methods of matrix completion are linear methods that are not effective in handling data of nonlinear structures. Recently a few researchers... 
Deep learning | Matrix factorization | Image inpainting | Collaborative filtering | Matrix completion | NEUROSCIENCES | LOW-RANK | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Machine Learning | Pattern Recognition, Automated - methods | Neural Networks (Computer) | Index Medicus
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 04/2017, Volume 39, Issue 4, pp. 818 - 832
Journal Article
Foundations of Computational Mathematics, ISSN 1615-3375, 12/2009, Volume 9, Issue 6, pp. 717 - 772
We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose that we observe m entries... 
Nuclear norm minimization | Random matrices | Decoupling | Noncommutative Khintchine inequality | Convex optimization | Duality in optimization | Compressed sensing | Low-rank matrices | Matrix completion | MATHEMATICS, APPLIED | INEQUALITIES | U-STATISTICS | MATHEMATICS | COMPUTER SCIENCE, THEORY & METHODS
Journal Article
Pattern Recognition, ISSN 0031-3203, 05/2018, Volume 77, pp. 378 - 394
Conventional matrix completion methods are generally linear because they assume that the given data are from linear transformations of lower-dimensional latent... 
Image inpainting | Non-linear denoising | Schatten p-norm | Low-rank | Single-/multi-label classification | Kernel | Matrix completion | RECOGNITION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | PRE-IMAGE | NORM | REGULARIZATION | Information management
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 12/2011, Volume 12, pp. 3413 - 3430
Journal Article
Pattern Recognition, ISSN 0031-3203, 04/2018, Volume 76, pp. 715 - 726
Modern technologies have been producing data with complex intrinsic structures, which can be naturally represented as two-dimensional matrices, such as gray... 
Matrix analysis | Sparse | Support vector machine | Low rank | Classification | REGRESSION | ALGORITHM | REPRESENTATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
SIAM Journal on Numerical Analysis, ISSN 0036-1429, 1/2011, Volume 49, Issue 3/4, pp. 1417 - 1435
Journal Article
Journal Article
Probability Theory and Related Fields, ISSN 0178-8051, 10/2017, Volume 169, Issue 1, pp. 523 - 564
Journal Article
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 08/2014, Volume 52, Issue 8, pp. 4729 - 4743
Journal Article