18.9.7.3 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.[Debing], 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

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.[Junxia], 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

Bai, M.[Minru], Zhang, X.J.[Xiong-Jun], Ni, G.[Guyan], Cui, C.F.[Chun-Feng],
An Adaptive Correction Approach for Tensor Completion,
SIIMS(9), No. 3, 2016, pp. 1298-1323.
DOI Link 1610
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

Bengua, J.A.[Johann A.], Phien, H.N.[Ho N.], Tuan, H.D.[Hoang Duong], Do, M.N.[Minh N.],
Efficient Tensor Completion for Color Image and Video Recovery: Low-Rank Tensor Train,
IP(26), No. 5, May 2017, pp. 2466-2479.
IEEE DOI 1704
Approximation algorithms 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., Aggarwal, V., Wang, X.,
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

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

Tsaknakis, I.C., Giampouras, P.V., Rontogiannis, A.A., Koutroumbas, K.D.,
A Computationally Efficient Tensor Completion Algorithm,
SPLetters(25), No. 8, August 2018, pp. 1266-1270.
IEEE DOI 1808
iterative methods, matrix decomposition, minimisation, tensors, computationally efficient tensor completion algorithm, tensor completion 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

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, computer vision, 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


Xiong, J., Li, S., Liu, Q., Xu, X.,
Analysis-operator guided simultaneous tensor decomposition and completion,
ICIP17(2677-2981)
IEEE DOI 1803
Analytical models, Convex functions, Matrix decomposition, Minimization, TV, Tensile stress, Visualization, ADMM, Tensor completion 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:Jun 24, 2019 at 10:45:36