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Journal Article
1996, Memoirs of the American Mathematical Society, ISBN 0821804731, Volume no. 584., viii, 69
Book
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 03/2013, Volume 35, Issue 3, pp. 716 - 727
Journal Article
IEEE Transactions on Information Theory, ISSN 0018-9448, 05/2015, Volume 61, Issue 5, pp. 2909 - 2923
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
IEEE Transactions on Signal Processing, ISSN 1053-587X, 2012, Volume 60, Issue 11, pp. 5714 - 5724
Rank minimization problems, which consist of finding a matrix of minimum rank subject to linear constraints, have been proposed in many areas of engineering... 
matrix completion | optimization | matrix rank minimization and sparse | Signal processing | Usage | Mathematical optimization | Least squares | Innovations | Singular value decomposition | Reconstruction | Computer simulation | Least squares method | Norms | Transaction processing | Optimization | Convergence
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
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
Journal of Machine Learning Research, ISSN 1532-4435, 12/2011, Volume 12, pp. 3413 - 3430
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 09/2019, Volume 137, pp. 195 - 210
We develop an empirical Bayes (EB) algorithm for the matrix completion problems. The EB algorithm is motivated from the singular value shrinkage estimator for... 
Empirical Bayes | Expectation–Maximization algorithm | Matrix completion | Singular value shrinkage | Information science | Analysis | Algorithms
Journal Article
IEEE Transactions on Information Theory, ISSN 0018-9448, 11/2016, Volume 62, Issue 11, pp. 6535 - 6579
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 08/2015, Volume 24, Issue 8, pp. 2355 - 2368
Journal Article