Signoretto, M.,
van de Plas, R.,
de Moor, B.[Bart],
Suykens, J.A.K.[Johan A.K.],
Tensor Versus Matrix Completion:
A Comparison With Application to Spectral Data,
SPLetters(18), No. 7, July 2011, pp. 403-406.
IEEE DOI
1101
BibRef
Hu, Y.[Yao],
Zhang, D.B.[De-Bing],
Ye, J.P.[Jie-Ping],
Li, X.L.[Xue-Long],
He, X.F.[Xiao-Fei],
Fast and Accurate Matrix Completion via Truncated Nuclear Norm
Regularization,
PAMI(35), No. 9, 2013, pp. 2117-2130.
IEEE DOI
1307
BibRef
Earlier: A2, A1, A3, A4, A5:
Matrix completion by Truncated Nuclear Norm Regularization,
CVPR12(2192-2199).
IEEE DOI
1208
Acceleration
BibRef
Chen, W.[Wei],
Tian, Q.C.[Qi-Chong],
Liu, J.[Jin],
Wang, Q.P.[Qian-Ping],
Nonlocal low-rank matrix completion for image interpolation using edge
detection and neural network,
SIViP(8), No. 4, May 2014, pp. 657-663.
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Wang, Y.X.[Yu-Xiang],
Lee, C.M.[Choon Meng],
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Practical Matrix Completion and Corruption Recovery Using Proximal
Alternating Robust Subspace Minimization,
IJCV(111), No. 3, February 2015, pp. 315-344.
Springer DOI
1503
BibRef
Cao, F.,
Cai, M.,
Tan, Y.,
Image Interpolation via Low-Rank Matrix Completion and Recovery,
CirSysVideo(25), No. 8, August 2015, pp. 1261-1270.
IEEE DOI
1508
Image reconstruction
BibRef
Kim, J.H.[Jin-Hwan],
Sim, J.Y.[Jae-Young],
Kim, C.S.[Chang-Su],
Video Deraining and Desnowing Using Temporal Correlation and Low-Rank
Matrix Completion,
IP(24), No. 9, September 2015, pp. 2658-2670.
IEEE DOI
1506
frame based representation
BibRef
Cabral, R.S.[Ricardo S.],
de la Torre, F.[Fernando],
Costeira, J.P.[Joao P.],
Bernardino, A.[Alexandre],
Matrix Completion for Weakly-Supervised Multi-Label Image
Classification,
PAMI(37), No. 1, January 2015, pp. 121-135.
IEEE DOI
1412
BibRef
Earlier:
Unifying Nuclear Norm and Bilinear Factorization Approaches for
Low-Rank Matrix Decomposition,
ICCV13(2488-2495)
IEEE DOI
1403
BibRef
Earlier: A1, A3, A2, A4:
Fast incremental method for matrix completion:
An application to trajectory correction,
ICIP11(1417-1420).
IEEE DOI
1201
Histograms
BibRef
Luo, Y.[Yong],
Liu, T.L.[Tong-Liang],
Tao, D.C.[Da-Cheng],
Xu, C.[Chao],
Multiview Matrix Completion for Multilabel Image Classification,
IP(24), No. 8, August 2015, pp. 2355-2368.
IEEE DOI
1505
Kernel
BibRef
Luo, Y.[Yong],
Liu, T.L.[Tong-Liang],
Tao, D.C.[Da-Cheng],
Xu, C.[Chao],
Decomposition-Based Transfer Distance Metric Learning for Image
Classification,
IP(23), No. 9, September 2014, pp. 3789-3801.
IEEE DOI
1410
eigenvalues and eigenfunctions
BibRef
Xu, C.,
Liu, T.L.[Tong-Liang],
Tao, D.C.[Da-Cheng],
Xu, C.[Chao],
Local Rademacher Complexity for Multi-Label Learning,
IP(25), No. 3, March 2016, pp. 1495-1507.
IEEE DOI
1602
Complexity theory
BibRef
Yu, J.[Jun],
Rui, Y.[Yong],
Tang, Y.Y.[Yuan Yan],
Tao, D.C.[Da-Cheng],
High-Order Distance-Based Multiview Stochastic Learning in Image
Classification,
Cyber(44), No. 12, December 2014, pp. 2431-2442.
IEEE DOI
1402
content-based retrieval
BibRef
Liu, Q.,
Lai, Z.,
Zhou, Z.,
Kuang, F.,
Jin, Z.,
A Truncated Nuclear Norm Regularization Method Based on Weighted
Residual Error for Matrix Completion,
IP(25), No. 1, January 2016, pp. 316-330.
IEEE DOI
1601
Acceleration
BibRef
Lin, X.F.[Xiao-Fan],
Wei, G.[Gang],
Pathwise component descent method with MC+ penalty for low rank
matrix recovery,
PRL(71), No. 1, 2016, pp. 52-58.
Elsevier DOI
1602
Low rank matrix recovery
BibRef
Li, J.,
Luo, L.,
Zhang, F.,
Yang, J.,
Rajan, D.,
Double Low Rank Matrix Recovery for Saliency Fusion,
IP(25), No. 9, September 2016, pp. 4421-4432.
IEEE DOI
1609
image fusion
BibRef
Li, J.X.[Jun-Xia],
Yang, J.[Jian],
Gong, C.[Chen],
Liu, Q.S.[Qing-Shan],
Saliency fusion via sparse and double low rank decomposition,
PRL(107), 2018, pp. 114-122.
Elsevier DOI
1805
Saliency detection, Saliency fusion, Low rank, Sparse noise
BibRef
Gamarnik, D.,
Misra, S.,
A Note on Alternating Minimization Algorithm for the Matrix
Completion Problem,
SPLetters(23), No. 10, October 2016, pp. 1340-1343.
IEEE DOI
1610
compressed sensing
BibRef
Yang, J.,
Yang, X.,
Ye, X.,
Hou, C.,
Reconstruction of Structurally-Incomplete Matrices With Reweighted
Low-Rank and Sparsity Priors,
IP(26), No. 3, March 2017, pp. 1158-1172.
IEEE DOI
1703
image reconstruction
BibRef
Jiang, X.,
Zhong, Z.,
Liu, X.,
So, H.C.,
Robust Matrix Completion via Alternating Projection,
SPLetters(24), No. 5, May 2017, pp. 579-583.
IEEE DOI
1704
computational complexity
BibRef
Fan, J.[Jicong],
Chow, T.W.S.[Tommy W.S.],
Matrix completion by least-square, low-rank, and sparse
self-representations,
PR(71), No. 1, 2017, pp. 290-305.
Elsevier DOI
1707
Matrix, completion
BibRef
Fan, J.[Jicong],
Chow, T.W.S.[Tommy W.S.],
Non-linear matrix completion,
PR(77), 2018, pp. 378-394.
Elsevier DOI
1802
Matrix completion, Low-rank, Kernel, Schatten -norm,
Image inpainting, Single-/multi-label classification, Non-linear denoising
BibRef
Ashraphijuo, M.[Morteza],
Aggarwal, V.[Vaneet],
Wang, X.D.[Xiao-Dong],
On Deterministic Sampling Patterns for Robust Low-Rank Matrix
Completion,
SPLetters(25), No. 3, March 2018, pp. 343-347.
IEEE DOI
1802
geometry, matrix algebra, pattern recognition, sampling methods,
Grassmannian manifold, deterministic sampling patterns,
sparse noise
BibRef
Ashraphijuo, M.[Morteza],
Wang, X.D.[Xiao-Dong],
Aggarwal, V.[Vaneet],
Fundamental sampling patterns for low-rank multi-view data completion,
PR(103), 2020, pp. 107307.
Elsevier DOI
2005
Multi-view learning, Low-rank matrix completion,
Sampling pattern, Sampling rate, Non-convex optimization, Rank decomposition
BibRef
Zhang, F.L.[Fan-Long],
Yang, Z.J.[Zhang-Jing],
Chen, Y.[Yu],
Yang, J.[Jian],
Yang, G.[Guowei],
Matrix completion via capped nuclear norm,
IET-IPR(12), No. 6, June 2018, pp. 959-966.
DOI Link
1805
BibRef
Guo, X.,
Lin, Z.,
Low-Rank Matrix Recovery Via Robust Outlier Estimation,
IP(27), No. 11, November 2018, pp. 5316-5327.
IEEE DOI
1809
computational complexity, gradient methods, matrix algebra,
optimisation, ROUTE-ADMM, ROUTE-BCD, recovery accuracy,
principal component pursuit
BibRef
Dong, J.[Jing],
Xue, Z.C.[Zhi-Chao],
Guan, J.[Jian],
Han, Z.F.[Zi-Fa],
Wang, W.W.[Wen-Wu],
Low rank matrix completion using truncated nuclear norm and sparse
regularizer,
SP:IC(68), 2018, pp. 76-87.
Elsevier DOI
1810
Matrix completion, Low rank, Truncated nuclear norm, Sparse representation
BibRef
Xue, Z.C.[Zhi-Chao],
Dong, J.[Jing],
Zhao, Y.X.[Yu-Xin],
Liu, C.[Chang],
Chellali, R.[Ryad],
Low-rank and sparse matrix decomposition via the truncated nuclear norm
and a sparse regularizer,
VC(35), No. 11, November 2018, pp. 1549-1566.
WWW Link.
1911
BibRef
Esmaeili, A.,
Marvasti, F.,
A Novel Approach to Quantized Matrix Completion Using Huber Loss
Measure,
SPLetters(26), No. 2, February 2019, pp. 337-341.
IEEE DOI
1902
approximation theory, computational complexity,
convex programming, gradient methods, gradient descent method
BibRef
Nie, F.,
Hu, Z.,
Li, X.,
Matrix Completion Based on Non-Convex Low-Rank Approximation,
IP(28), No. 5, May 2019, pp. 2378-2388.
IEEE DOI
1903
approximation theory, concave programming,
convex programming, image representation, matrix algebra,
nuclear norm
BibRef
Luo, L.[Lei],
Yang, J.[Jian],
Zhang, Y.[Yigong],
Xu, Y.[Yong],
Huang, H.[Heng],
Nesting-structured nuclear norm minimization for spatially correlated
matrix variate,
PR(91), 2019, pp. 147-161.
Elsevier DOI
1904
Nesting-structured nuclear norm, Low rank, Structured sparsity,
Matrix regression, Matrix completion, Sub-gradient method
BibRef
Mohades, M.M.[Mohamad Mahdi],
Majidian, S.[Sina],
Kahaei, M.H.[Mohammad Hossein],
Haplotype Assembly Using Manifold Optimization and Error Correction
Mechanism,
SPLetters(26), No. 6, June 2019, pp. 868-872.
IEEE DOI
1906
biology, error correction, genetics, iterative methods,
matrix algebra, optimisation, manifold optimization,
Hamming distance
BibRef
Wang, W.G.[Wei-Gang],
Song, W.[Wei],
Wang, G.Y.[Guang-Yuan],
Zeng, G.G.[Gui-Gen],
Tian, F.[Feng],
Image recovery and recognition:
A combining method of matrix norm regularisation,
IET-IPR(13), No. 8, 20 June 2019, pp. 1246-1253.
DOI Link
1906
BibRef
Ye, H.,
Li, H.,
Cao, F.,
Zhang, L.,
A Hybrid Truncated Norm Regularization Method for Matrix Completion,
IP(28), No. 10, October 2019, pp. 5171-5186.
IEEE DOI
1909
Stability analysis, Adaptation models, Computational modeling,
Mathematical model, Convergence, Matrices,
image inpainting
BibRef
Jia, X.[Xiuyi],
Ren, T.T.[Ting-Ting],
Chen, L.[Lei],
Wang, J.[Jun],
Zhu, J.H.[Ji-Hua],
Long, X.Z.[Xian-Zhong],
Weakly supervised label distribution learning based on transductive
matrix completion with sample correlations,
PRL(125), 2019, pp. 453-462.
Elsevier DOI
1909
Weakly supervised learning, Label distribution learning,
Matrix completion, Sample correlation
BibRef
Razavikia, S.[Saeed],
Amini, A.[Arash],
Daei, S.[Sajad],
Reconstruction of Binary Shapes From Blurred Images via
Hankel-Structured Low-Rank Matrix Recovery,
IP(29), 2020, pp. 2452-2462.
IEEE DOI
2001
Shape, Kernel, Image reconstruction, Minimization, Transforms, Imaging,
Noise measurement, Binary shape, Hankel structure, low-rank matrix recovery
BibRef
Xia, H.F.[Hai-Feng],
Feng, G.C.[Guo-Can],
Cai, J.X.[Jia-Xin],
Tang, X.[Xin],
Chi, H.M.[Hong-Mei],
Embedded conformal deep low-rank auto-encoder network for matrix
recovery,
PRL(132), 2020, pp. 38-45.
Elsevier DOI
2005
Low-rank matrix, Auto-encoder network, Conformal constraint, Image restoration
BibRef
Sedighin, F.,
Cichocki, A.,
Yokota, T.,
Shi, Q.,
Matrix and Tensor Completion in Multiway Delay Embedded Space Using
Tensor Train, With Application to Signal Reconstruction,
SPLetters(27), 2020, pp. 810-814.
IEEE DOI
2006
Time series reconstruction, tensor train decomposition,
multiway delay embedded space, rank incremental
BibRef
Wang, X.,
Liu, G.,
Zhang, W.,
Liu, Q.,
Selecting Optimal Completion to Partial Matrix via Self-Validation,
SPLetters(27), 2020, pp. 1265-1269.
IEEE DOI
2008
Matrix completion, identifiability measure, self-validation, isomeric condition
BibRef
Li, S.,
Li, Q.,
Zhu, Z.,
Tang, G.,
Wakin, M.B.,
The Global Geometry of Centralized and Distributed Low-rank Matrix
Recovery Without Regularization,
SPLetters(27), 2020, pp. 1400-1404.
IEEE DOI
2008
Cost function, Linear programming, Geometry,
Eigenvalues and eigenfunctions, Signal processing,
distributed optimization
BibRef
Liu, G.C.[Guang-Can],
Liu, Q.S.[Qing-Shan],
Yuan, X.T.[Xiao-Tong],
Wang, M.[Meng],
Matrix Completion with Deterministic Sampling: Theories and Methods,
PAMI(43), No. 2, February 2021, pp. 549-566.
IEEE DOI
2101
Coherence, Tools, Automation, Information science,
Probabilistic logic, Data models,
bilinear programming
BibRef
Chen, L.,
Jiang, X.,
Liu, X.,
Zhou, Z.,
Logarithmic Norm Regularized Low-Rank Factorization for Matrix and
Tensor Completion,
IP(30), 2021, pp. 3434-3449.
IEEE DOI
2103
Tensors, Minimization, Optimization, Matrix decomposition,
Convergence, Thresholding (Imaging), Computational modeling,
nonconvex optimization
BibRef
Fathi, H.[Hamid],
Rangriz, E.[Emad],
Pourahmadi, V.[Vahid],
Two Novel Algorithms for Low-Rank Matrix Completion Problem,
SPLetters(28), 2021, pp. 892-896.
IEEE DOI
2106
Uncertainty, Minimization, Signal processing algorithms,
Motion pictures, Measurement, Prediction algorithms,
coherent and incoherent matices
BibRef
Garg, V.[Vaibhav],
Pagès-Zamora, A.[Alba],
Santamaria, I.[Ignacio],
Order Estimation via Matrix Completion for Multi-Switch Antenna
Selection,
SPLetters(28), 2021, pp. 2063-2067.
IEEE DOI
2111
Estimation, Covariance matrices, Sensors, Sensor arrays,
Linear antenna arrays, Signal to noise ratio,
uniform linear array
BibRef
Miao, J.[Jifei],
Kou, K.I.[Kit Ian],
Color Image Recovery Using Low-Rank Quaternion Matrix Completion
Algorithm,
IP(31), 2022, pp. 190-201.
IEEE DOI
2112
Quaternions, Color, Tensors, Matrix converters, Matrix decomposition,
Image color analysis, Algebra, Color image recovery, quaternion,
low-rank decomposition
BibRef
Yang, L.Q.[Li-Qiao],
Kou, K.I.[Kit Ian],
Miao, J.[Jifei],
Weighted truncated nuclear norm regularization for low-rank
quaternion matrix completion,
JVCIR(81), 2021, pp. 103335.
Elsevier DOI
2112
Quaternion matrix completion, Low-rank,
Quaternion truncated nuclear norm, Weights
BibRef
Jin, X.B.[Xiao-Bo],
Miao, J.Y.[Jian-Yu],
Wang, Q.F.[Qiu-Feng],
Geng, G.G.[Guang-Gang],
Huang, K.Z.[Kai-Zhu],
Sparse matrix factorization with L2,1 norm for matrix completion,
PR(127), 2022, pp. 108655.
Elsevier DOI
2205
Matrix Completion, Matrix Factorization, Norm Regularization,
Alternative Optimization, Sparse Property
BibRef
Li, Z.M.[Zhe-Min],
Xu, Z.Q.J.[Zhi-Qin John],
Luo, T.[Tao],
Wang, H.X.[Hong-Xia],
A regularised deep matrix factorised model of matrix completion for
image restoration,
IET-IPR(16), No. 12, 2022, pp. 3212-3224.
DOI Link
2209
BibRef
Liu, D.H.[Dong-He],
Zhao, Y.B.[Yong-Bo],
Zhang, T.X.[Ting-Xiao],
Sparsity-Based Two-Dimensional DOA Estimation for Co-Prime Planar
Array via Enhanced Matrix Completion,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Li, Z.[Zhemin],
Sun, T.[Tao],
Wang, H.X.[Hong-Xia],
Wang, B.[Bao],
Adaptive and Implicit Regularization for Matrix Completion,
SIIMS(15), No. 4, 2022, pp. 2000-2022.
DOI Link
2212
BibRef
Li, X.L.[Xue-Long],
Zhang, H.Y.[Hong-Yuan],
Zhang, R.[Rui],
Matrix Completion via Non-Convex Relaxation and Adaptive Correlation
Learning,
PAMI(45), No. 2, February 2023, pp. 1981-1991.
IEEE DOI
2301
Correlation, Adaptation models, Optimization, Computational modeling,
Noise measurement, Convergence, parameter-free optimization
BibRef
Zhang, W.[Wei],
Yang, J.[Jian],
Li, Q.[Qiang],
Lin, J.[Jingran],
Shao, H.[Huaizong],
Sun, G.M.[Guo-Min],
Cooperative Electromagnetic Data Annotation via Low-Rank Matrix
Completion,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Chen, Z.L.[Zhao-Liang],
Yao, J.[Jie],
Xiao, G.[Guobao],
Wang, S.P.[Shi-Ping],
Efficient and Differentiable Low-Rank Matrix Completion With Back
Propagation,
MultMed(25), 2023, pp. 228-242.
IEEE DOI
2301
Matrix decomposition, Backpropagation, Minimization,
Sparse matrices, Matrix converters, Singular value decomposition,
Schatten- p norm
BibRef
Vural, M.[Metin],
Yuan, C.[Chun],
Kleppmann, N.[Nicola],
Jung, P.[Peter],
Stanczak, S.[Slawomir],
Illinois-Type Methods for Noisy Euclidean Distance Realization,
SPLetters(29), 2022, pp. 2687-2691.
IEEE DOI
2301
Euclidean distance matrix completion.
Noise measurement, Symmetric matrices, Convergence,
Euclidean distance, Wireless sensor networks, Pareto optimality
BibRef
Wang, Z.Y.[Zhi-Yong],
Li, X.P.[Xiao Peng],
So, H.C.[Hing Cheung],
Robust Matrix Completion Based on Factorization and
Truncated-Quadratic Loss Function,
CirSysVideo(33), No. 4, April 2023, pp. 1521-1534.
IEEE DOI
2304
Minimization, Resists, Additives, Robustness, Gaussian noise,
Computational efficiency, Bayes methods,
block coordinate descent
BibRef
Li, Z.H.[Zi-Heng],
Nie, F.P.[Fei-Ping],
Wang, R.[Rong],
Li, X.L.[Xue-Long],
Robust rank-one matrix completion with rank estimation,
PR(142), 2023, pp. 109637.
Elsevier DOI
2307
Matrix completion, Robust, Rank-one matrix pursuit, Rank estimation
BibRef
Tsakiris, M.C.[Manolis C.],
Low-Rank Matrix Completion Theory via Plücker Coordinates,
PAMI(45), No. 8, August 2023, pp. 10084-10099.
IEEE DOI
2307
Geometry, Recommender systems, Complexity theory,
Structure from motion, Singular value decomposition, Rigidity,
Plücker coordinates
BibRef
Cai, H.Q.[Han-Qin],
Huang, L.X.[Long-Xiu],
Li, P.Y.[Peng-Yu],
Needell, D.[Deanna],
Matrix Completion With Cross-Concentrated Sampling:
Bridging Uniform Sampling and CUR Sampling,
PAMI(45), No. 8, August 2023, pp. 10100-10113.
IEEE DOI
2307
Matrix decomposition, Motion pictures, Collaboration, Minimization,
Data models, Complexity theory, Bridges,
sampling strategy
BibRef
Wandale, S.[Steven],
Ichige, K.[Koichi],
A Generalized Extended Nested Array Design via Maximum Inter-Element
Spacing Criterion,
SPLetters(30), 2023, pp. 31-35.
IEEE DOI
2302
Sensor arrays, Mutual coupling, Direction-of-arrival estimation,
Array signal processing, Symmetric matrices, Manifolds, Estimation,
direction-of-arrival estimation
BibRef
Wandale, S.[Steven],
Ichige, K.[Koichi],
xMISC: Improved Sparse Linear Array via Maximum Inter-Element Spacing
Concept,
SPLetters(30), 2023, pp. 1327-1331.
IEEE DOI
2310
BibRef
Li, X.P.[Xiao Peng],
Shi, Z.L.[Zhang-Lei],
Liu, Q.[Qi],
So, H.C.[Hing Cheung],
Fast Robust Matrix Completion via Entry-Wise l0-Norm Minimization,
Cyber(53), No. 11, November 2023, pp. 7199-7212.
IEEE DOI
2310
BibRef
Wang, Z.Y.[Zhi-Yong],
Li, X.P.[Xiao Peng],
So, H.C.[Hing Cheung],
Zoubir, A.M.[Abdelhak M.],
Adaptive Rank-One Matrix Completion Using Sum of Outer Products,
CirSysVideo(33), No. 9, September 2023, pp. 4868-4880.
IEEE DOI
2310
BibRef
Liu, Q.L.[Qi-Long],
Lu, L.[Linzhang],
Chen, Z.[Zhen],
Non-negative Tucker decomposition with graph regularization and
smooth constraint for clustering,
PR(148), 2024, pp. 110207.
Elsevier DOI
2402
Non-negative Tucker decomposition, Graph regularization,
Randomized algorithm, Clustering
BibRef
Su, X.X.[Xiang-Xiang],
Gan, M.[Min],
Chen, G.Y.[Guang-Yong],
Yang, L.[Lin],
Jin, J.W.[Jun-Wei],
Nonmonotone variable projection algorithms for matrix decomposition
with missing data,
PR(148), 2024, pp. 110150.
Elsevier DOI
2402
Low-rank matrix factorization, Missing data,
Damped wiberg method, Variable projection
BibRef
Zhang, H.Y.[Hong-Yuan],
Jiao, Z.H.[Zi-Heng],
Li, X.L.[Xue-Long],
Orthogonal subspace exploration for matrix completion,
PR(153), 2024, pp. 110456.
Elsevier DOI
2405
Low-rank matrix completion, Non-convex optimization,
Orthogonal subspace exploration, Stiefel manifold
BibRef
Huang, X.J.[Xin-Jian],
Liu, W.W.[Wei-Wei],
Du, B.[Bo],
Tao, D.C.[Da-Cheng],
Leveraged Matrix Completion With Noise,
Cyber(54), No. 8, August 2024, pp. 4443-4453.
IEEE DOI
2408
Noise measurement, Sparse matrices, Linear matrix inequalities,
Complexity theory, Upper bound, noise
BibRef
Sun, H.[Hao],
Chen, J.T.[Jun-Ting],
Energy-Modified Leverage Sampling for Radio Map Construction via
Matrix Completion,
SPLetters(31), 2024, pp. 1780-1784.
IEEE DOI
2408
Sparse matrices, Probabilistic logic, Vectors, Tensors,
Interpolation, Shadow mapping, Research and development,
sampling pattern
BibRef
Zhan, T.[Tong],
Mao, X.J.[Xiao-Jun],
Wang, J.[Jian],
Wang, Z.L.[Zhong-Lei],
Collective Matrix Completion via Graph Extraction,
SPLetters(31), 2024, pp. 2620-2624.
IEEE DOI
2410
Feature extraction, Data mining, Vectors, Transforms,
Recommender systems, Training, Signal processing algorithms,
recommendation system
BibRef
Fan, J.[Jicong],
Udell, M.[Madeleine],
Online High Rank Matrix Completion,
CVPR19(8682-8690).
IEEE DOI
2002
BibRef
Yang, J.,
You, L.,
Li, K.,
Yang, J.,
Low-rank matrix completion against missing rows and columns with
separable 2-D sparsity priors,
ICIP17(3520-3524)
IEEE DOI
1803
Acceleration, Approximation algorithms, Correlation, Dictionaries,
Matrix converters, PSNR, Sparse matrices, Matrix completion,
sparse representation
BibRef
Jarray, F.[Fethi],
Tlig, G.[Ghassen],
A Greedy Algorithm for Reconstructing Binary Matrices with Adjacent 1s,
IWCIA17(347-355).
Springer DOI
1706
BibRef
Ehrhardt, J.[Jan],
Wilms, M.[Matthias],
Handels, H.[Heinz],
Patch-Based Low-Rank Matrix Completion for Learning of Shape and Motion
Models from Few Training Samples,
ECCV16(IV: 712-727).
Springer DOI
1611
BibRef
Lee, J.,
Choe, Y.,
Low rank matrix recovery via augmented lagrange multiplier with
nonconvex minimization,
IVMSP16(1-5)
IEEE DOI
1608
Convex functions
BibRef
Qin, Z.[Zhen],
Li, C.G.,
Zhang, H.G.[Hong-Gang],
Guo, J.[Jun],
Improving tag matrix completion for image annotation and retrieval,
VCIP15(1-4)
IEEE DOI
1605
Correlation
BibRef
Hou, Y.,
Lin, Z.,
Image tag completion and refinement by subspace clustering and matrix
completion,
VCIP15(1-4)
IEEE DOI
1605
Clustering algorithms
BibRef
Chen, C.H.[Ching-Hui],
Patel, V.M.[Vishal M.],
Chellappa, R.[Rama],
Matrix completion for resolving label ambiguity,
CVPR15(4110-4118)
IEEE DOI
1510
resolve multiple labels for ambiguous labels.
BibRef
Kovnatsky, A.[Artiom],
Bronstein, M.M.[Michael M.],
Bresson, X.[Xavier],
Vandergheynst, P.[Pierre],
Functional correspondence by matrix completion,
CVPR15(905-914)
IEEE DOI
1510
BibRef
Li, Z.Z.[Zhi-Zhong],
Zhao, D.L.[De-Li],
Lin, Z.C.[Zhou-Chen],
Chang, E.Y.[Edward Y.],
A new retraction for accelerating the Riemannian three-factor
low-rank matrix completion algorithm,
CVPR15(4530-4538)
IEEE DOI
1510
BibRef
Lu, S.[Si],
Ren, X.F.[Xiao-Feng],
Liu, F.[Feng],
Depth Enhancement via Low-Rank Matrix Completion,
CVPR14(3390-3397)
IEEE DOI
1409
BibRef
Chen, J.H.[Jin-Hui],
Yang, J.[Jian],
Low-Rank Matrix Completion Based on Maximum Likelihood Estimation,
ACPR13(261-265)
IEEE DOI
1408
Laplace equations. Low rank from contaminated data.
BibRef
Zhang, X.P.[Xiao-Peng],
Xiong, H.K.[Hong-Kai],
Illumination compensation via low rank matrix completion for
multiview video coding,
ICIP13(1865-1869)
IEEE DOI
1402
Illumination compensation
BibRef
Ji, H.[Hui],
Liu, C.Q.[Chao-Qiang],
Shen, Z.W.[Zuo-Wei],
Xu, Y.H.[Yu-Hong],
Robust video denoising using low rank matrix completion,
CVPR10(1791-1798).
IEEE DOI
1006
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Integration over a Sequence, Incremental Recovery .