19.9.8.3 Matrix Completion Algorithms

Chapter Contents (Back)
Matrix Completion.

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.
WWW Link. 1404
BibRef

Wang, Y.X.[Yu-Xiang], Lee, C.M.[Choon Meng], Cheong, L.F.[Loong-Fah], Toh, K.C.[Kim-Chuan],
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


Li, C.[Chao], He, W.[Wei], Yuan, L.H.[Long-Hao], Sun, Z.[Zhun], Zhao, Q.B.[Qi-Bin],
Guaranteed Matrix Completion Under Multiple Linear Transformations,
CVPR19(11128-11137).
IEEE DOI 2002
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 .


Last update:Mar 16, 2024 at 20:36:19