11.14.3.9.9 Tensor Completion

Chapter Contents (Back)
Computation. Tensor Completion.

Zhou, P.[Pan], Lu, C.Y.[Can-Yi], Lin, Z.C.[Zhou-Chen], Zhang, C.[Chao],
Tensor Factorization for Low-Rank Tensor Completion,
IP(27), No. 3, March 2018, pp. 1152-1163.
IEEE DOI 1801
singular value decomposition, tensors, TNN, image inpainting tasks, low-rank tensor completion, matricization methods, tensor completion BibRef

Lu, C.Y.[Can-Yi], Peng, X.[Xi], Wei, Y.C.[Yun-Chao],
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms,
CVPR19(5989-5997).
IEEE DOI 2002
BibRef

Lu, C.Y.[Can-Yi], Feng, J.S.[Jia-Shi], Chen, Y.D.[Yu-Dong], Liu, W.[Wei], Lin, Z.C.[Zhou-Chen], Yan, S.C.[Shui-Cheng],
Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm,
PAMI(42), No. 4, April 2020, pp. 925-938.
IEEE DOI 2003
Principal component analysis, Sparse matrices, Matrix decomposition, Numerical models, Noise measurement, tensor singular value decomposition BibRef

Liu, J.[Ji], Musialski, P.[Przemyslaw], Wonka, P.[Peter], Ye, J.P.[Jie-Ping],
Tensor Completion for Estimating Missing Values in Visual Data,
PAMI(35), No. 1, January 2013, pp. 208-220.
IEEE DOI 1212
BibRef
Earlier: ICCV09(2114-2121).
IEEE DOI 0909
BibRef

Liu, Y.Y.[Yuan-Yuan], Shang, F.H.[Fan-Hua],
An Efficient Matrix Factorization Method for Tensor Completion,
SPLetters(20), No. 4, April 2013, pp. 307-310.
IEEE DOI 1303
BibRef

Yang, Y.N.[Yu-Ning], Feng, Y.L.[Yun-Long], Suykens, J.A.K.,
A Rank-One Tensor Updating Algorithm for Tensor Completion,
SPLetters(22), No. 10, October 2015, pp. 1633-1637.
IEEE DOI 1506
computational complexity 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

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

Ng, M.K.P., Yuan, Q., Yan, L., Sun, J.,
An Adaptive Weighted Tensor Completion Method for the Recovery of Remote Sensing Images With Missing Data,
GeoRS(55), No. 6, June 2017, pp. 3367-3381.
IEEE DOI 1706
Adaptation models, Clouds, Image reconstruction, MODIS, Remote sensing, Tensile stress, Adaptive weighted, missing data reconstruction, remote sensing, tensor, completion BibRef

Tang, J.H.[Jin-Hui], Shu, X.B.[Xiang-Bo], Qi, G.J.[Guo-Jun], Li, Z.C.[Ze-Chao], Wang, M.[Meng], Yan, S.C.[Shui-Cheng], Jain, R.[Ramesh],
Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement,
PAMI(39), No. 8, August 2017, pp. 1662-1674.
IEEE DOI 1707
Social image tag refinement. Buildings, Correlation, Noise measurement, Semantics, Tensile stress, Visualization, Social image tag refinement, tensor completion, tri-clustering BibRef

Tang, J.H.[Jin-Hui], Shu, X.B.[Xiang-Bo], Li, Z.C.[Ze-Chao], Jiang, Y.G.[Yu-Gang], Tian, Q.[Qi],
Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging,
PAMI(41), No. 8, August 2019, pp. 2027-2034.
IEEE DOI 1907
Matrix decomposition, Visualization, Computational efficiency, Sparse matrices, Image retrieval, image retrieval 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

Xiong, B., Liu, Q., Xiong, J., Li, S., Wang, S., Liang, D.,
Field-of-Experts Filters Guided Tensor Completion,
MultMed(20), No. 9, September 2018, pp. 2316-2329.
IEEE DOI 1809
approximation theory, computational complexity, filtering theory, minimisation, tensors, conventional FoE filters, high-order tensor, alternative minimization BibRef

Ji, T.Y., Yokoya, N., Zhu, X.X., Huang, T.Z.,
Nonlocal Tensor Completion for Multitemporal Remotely Sensed Images: Inpainting,
GeoRS(56), No. 6, June 2018, pp. 3047-3061.
IEEE DOI 1806
Correlation, Image reconstruction, Indexes, Remote sensing, Tensile stress, tensor completion BibRef

Sun, W., Chen, Y., Huang, L., So, H.C.,
Tensor Completion via Generalized Tensor Tubal Rank Minimization Using General Unfolding,
SPLetters(25), No. 6, June 2018, pp. 868-872.
IEEE DOI 1806
matrix algebra, minimisation, tensors, Frobenius-norm optimization, GTTR minimization, general tensor completion idea, tensor tubal rank BibRef

Li, B., Zhang, X., Li, X., Lu, H.,
Tensor Completion From One-Bit Observations,
IP(28), No. 1, January 2019, pp. 170-180.
IEEE DOI 1810
convex programming, minimisation, noise, tensors, tensor completion issues, squared loss function, alternating direction method of multipliers (ADMM) BibRef

Yuan, L.H.[Long-Hao], Zhao, Q.B.[Qi-Bin], Gui, L.H.[Li-Hua], Cao, J.T.[Jian-Ting],
High-order tensor completion via gradient-based optimization under tensor train format,
SP:IC(73), 2019, pp. 53-61.
Elsevier DOI 1904
Tensor completion, Visual data recovery, Tensor train decomposition, Higher-order tensorization, Gradient-based optimization BibRef

Xu, W.H.[Wen-Hao], Zhao, X.L.[Xi-Le], Ji, T.Y.[Teng-Yu], Miao, J.Q.[Jia-Qing], Ma, T.H.[Tian-Hui], Wang, S.[Si], Huang, T.Z.[Ting-Zhu],
Laplace function based nonconvex surrogate for low-rank tensor completion,
SP:IC(73), 2019, pp. 62-69.
Elsevier DOI 1904
Nonconvex optimization, Tensor completion, Laplace function, Tensor singular value decomposition (t-SVD) BibRef

Yu, S.C.[Shi-Cheng], Miao, J.Q.[Jia-Qing], Li, G.B.[Gui-Bing], Jin, W.D.[Wei-Dong], Li, G.P.[Gao-Ping], Liu, X.G.[Xiao-Guang],
Tensor Completion via Smooth Rank Function Low-Rank Approximate Regularization,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Wu, Z.C.[Zhong-Cheng], Huang, T.Z.[Ting-Zhu], Deng, L.J.[Liang-Jian], Huang, J.[Jie], Chanussot, J.[Jocelyn], Vivone, G.[Gemine],
LRTCFPan: Low-Rank Tensor Completion Based Framework for Pansharpening,
IP(32), 2023, pp. 1640-1655.
IEEE DOI 2303
Tensors, Pansharpening, Mathematical models, Superresolution, Electron tubes, Degradation, Task analysis, super-resolution BibRef

Ji, T.Y.[Teng-Yu], Zhao, X.L.[Xi-Le], Sun, D.L.[Dong-Lin],
Low-Rank Tensor Completion Method for Implicitly Low-Rank Visual Data,
SPLetters(29), 2022, pp. 1162-1166.
IEEE DOI 2205
Tensors, Kernel, Correlation, Color, Periodic structures, Matrix decomposition, Image reconstruction, Kernel methods, tensor decomposition BibRef

Zhou, M.Y.[Ming-Yi], Liu, Y.P.[Yi-Peng], Long, Z.[Zhen], Chen, L.X.[Long-Xi], Zhu, C.[Ce],
Tensor rank learning in CP decomposition via convolutional neural network,
SP:IC(73), 2019, pp. 12-21.
Elsevier DOI 1904
CANDECOMP/PARAFAC decomposition, Convolutional neural network, Deep learning, Low rank tensor approximation, Tensor rank estimation BibRef

Zdunek, R.[Rafal], Fonal, K.[Krzysztof], Wolczowski, A.[Andrzej],
Linked CP tensor decomposition algorithms for shared and individual feature extraction,
SP:IC(73), 2019, pp. 37-52.
Elsevier DOI 1904
Linked CP tensor decomposition, Algorithms for LCPTD, Feature fusion, EMG/MMG signal classification, Video sequence modeling BibRef

Zhang, X.J.[Xiong-Jun], Ng, M.K.[Michael K.],
A Corrected Tensor Nuclear Norm Minimization Method for Noisy Low-Rank Tensor Completion,
SIIMS(12), No. 2, 2019, pp. 1231-1273.
DOI Link 1907
BibRef

Shi, C.F.[Cheng-Fei], Huang, Z.D.[Zheng-Dong], Wan, L.[Li], Xiong, T.F.[Ti-Fan],
An effective approach for color video recovery based on balanced tensor,
SP:IC(78), 2019, pp. 376-387.
Elsevier DOI 1909
Low-rank tensor completion, Video recovery, Balanced tensor BibRef

Liu, X.H.[Xiao-Hua], Jing, X.Y.[Xiao-Yuan], Tang, G.J.[Gui-Jin], Wu, F.[Fei], Dong, X.[Xiwei],
Low-rank tensor completion for visual data recovery via the tensor train rank-1 decomposition,
IET-IPR(14), No. 1, January 2020, pp. 114-124.
DOI Link 1912
BibRef

Ng, M.K.[Michael K.], Zhang, X.J.[Xiong-Jun], Zhao, X.L.[Xi-Le],
Patched-tube unitary transform for robust tensor completion,
PR(100), 2020, pp. 107181.
Elsevier DOI 2005
Unitary transform, Patched-tubes, Robust tensor completion, Transformed tensor singular value decomposition BibRef

Jiang, T., Ng, M.K.[Michael K.], Zhao, X.L.[Xi-Le], Huang, T.,
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion,
IP(29), 2020, pp. 7233-7244.
IEEE DOI 2007
Tensors, Discrete Fourier transforms, Electron tubes, Matrix decomposition, Magnetic resonance imaging, Videos, tensor robust principal component analysis BibRef

Ko, C., Batselier, K., Daniel, L., Yu, W., Wong, N.,
Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains,
IP(29), 2020, pp. 6918-6931.
IEEE DOI 2007
Tensile stress, Matrix decomposition, Task analysis, Mathematical model, Optimization, Gray-scale, image restoration BibRef

Ibrahim, S.[Shahana], Fu, X.[Xiao], Li, X.G.[Xing-Guo],
On Recoverability of Randomly Compressed Tensors With Low CP Rank,
SPLetters(27), 2020, pp. 1125-1129.
IEEE DOI 2007
Tensors, Sensors, Image coding, Inverse problems, Sparse matrices, Hyperspectral imaging, Compressive sensing, CPD least squares BibRef

Song, Y.[Yun], Li, J.[Jie], Chen, X.[Xi], Zhang, D.Y.[Deng-Yong], Tang, Q.A.[Qi-Ang], Yang, K.[Kun],
An efficient tensor completion method via truncated nuclear norm,
JVCIR(70), 2020, pp. 102791.
Elsevier DOI 2007
Tensor completion, Tensor singular value decomposition, Truncated tensor nuclear norm, Visual data restoration BibRef

Feng, Y.[Yali], Zhou, G.X.[Guo-Xu],
Orthogonal random projection for tensor completion,
IET-CV(14), No. 5, August 2020, pp. 233-240.
DOI Link 2007
BibRef

Miao, J.F.[Ji-Fei], Kou, K.I.[Kit Ian], Liu, W.[Wankai],
Low-rank quaternion tensor completion for recovering color videos and images,
PR(107), 2020, pp. 107505.
Elsevier DOI 2008
Quaternion, Color videos, Color images, Tensor completion, Low-rank BibRef

Liu, C., Shan, H., Ma, T., Wang, B.,
Optimality Verification of Tensor Completion Model via Self-Validation,
SPLetters(27), 2020, pp. 1849-1853.
IEEE DOI 2011
Tensors, Measurement, Mathematical model, Numerical models, Indexes, Optimization, Training, Tensor completion, identifiability measure, self-validation BibRef

Long, Z.[Zhen], Zhu, C.[Ce], Liu, J.[Jiani], Liu, Y.P.[Yi-Peng],
Bayesian Low Rank Tensor Ring for Image Recovery,
IP(30), 2021, pp. 3568-3580.
IEEE DOI 2103
Tensors, Bayes methods, Minimization, Matrix decomposition, Structural rings, Correlation, Optimization, Image recovery, Bayesian variational inference BibRef

Xu, R.T.[Ruo-Tao], Xu, Y.[Yong], Quan, Y.H.[Yu-Hui],
Factorized Tensor Dictionary Learning for Visual Tensor Data Completion,
MultMed(23), 2021, pp. 1225-1238.
IEEE DOI 2105
Tensile stress, Dictionaries, Machine learning, Visualization, Convolutional codes, Encoding, Analytical models, factorized dictionary learning BibRef

Chen, Z.F.[Ze-Feng], Zhou, G.X.[Guo-Xu], Zhao, Q.B.[Qi-Bin],
Hierarchical Factorization Strategy for High-Order Tensor and Application to Data Completion,
SPLetters(28), 2021, pp. 1255-1259.
IEEE DOI 2107
Tensors, Matrix decomposition, Signal processing algorithms, Task analysis, Standards, Convergence, Adaptation models, tensor completion BibRef

Wang, A.D.[An-Dong], Zhou, G.X.[Guo-Xu], Zhao, Q.B.[Qi-Bin],
Guaranteed Robust Tensor Completion via *L-SVD with Applications to Remote Sensing Data,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Zhu, H.[Hu], Wang, Z.Y.[Zhong-Yang], Yan, T.[Taiyu], Yu, Y.F.[Yu-Feng], Deng, L.[Lizhen], Bao, B.K.[Bing-Kun],
A parallel multi-block alternating direction method of multipliers for tensor completion,
IET-IPR(15), No. 13, 2021, pp. 3053-3062.
DOI Link 2110
BibRef

Yang, M.[Ming], Luo, Q.[Qilun], Li, W.[Wen], Xiao, M.Q.[Ming-Qing],
Nonconvex 3D array image data recovery and pattern recognition under tensor framework,
PR(122), 2022, pp. 108311.
Elsevier DOI 2112
Tensor completion, Tensor robust principle component analysis, T-SVD, Tensor nuclear norm, Weighted tensor schatten- quasi-norm BibRef

Chen, X.M.[Xue-Mei], Qin, J.[Jing],
Regularized Kaczmarz Algorithms for Tensor Recovery,
SIIMS(14), No. 4, 2021, pp. 1439-1471. p
DOI Link 2112
BibRef

Zhao, X.L.[Xi-Le], Yang, J.H.[Jing-Hua], Ma, T.H.[Tian-Hui], Jiang, T.X.[Tai-Xiang], Ng, M.K.[Michael K.], Huang, T.Z.[Ting-Zhu],
Tensor Completion via Complementary Global, Local, and Nonlocal Priors,
IP(31), 2022, pp. 984-999.
IEEE DOI 2201
Tensors, Visualization, Matrix decomposition, Hyperspectral imaging, Correlation, Minimization, alternating direction method of multipliers BibRef

Qin, W.J.[Wen-Jin], Wang, H.L.[Hai-Lin], Zhang, F.[Feng], Wang, J.J.[Jian-Jun], Luo, X.[Xin], Huang, T.[Tingwen],
Low-Rank High-Order Tensor Completion With Applications in Visual Data,
IP(31), 2022, pp. 2433-2448.
IEEE DOI 2203
Tensors, Matrix decomposition, Videos, Visualization, Image color analysis, Singular value decomposition, Data models, sparsity measure BibRef

Zhao, X.Y.[Xue-Ying], Bai, M.[Minru], Sun, D.[Defeng], Zheng, L.[Libin],
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms,
SIIMS(15), No. 2, 2022, pp. 625-669.
DOI Link 2206
BibRef

Zhang, X.J.[Xiong-Jun], Ng, M.K.[Michael K.],
Low Rank Tensor Completion With Poisson Observations,
PAMI(44), No. 8, August 2022, pp. 4239-4251.
IEEE DOI 2207
Tensors, Videos, Numerical models, Convex functions, Manifolds, Maximum likelihood estimation, Matrix decomposition, Poisson observations BibRef

Deng, L.[Lei], Liu, X.Y.[Xiao-Yang], Zheng, H.F.[Hai-Feng], Feng, X.X.[Xin-Xin], Chen, Y.[Youjia],
Graph Spectral Regularized Tensor Completion for Traffic Data Imputation,
ITS(23), No. 8, August 2022, pp. 10996-11010.
IEEE DOI 2208
Tensors, Data models, Transportation, Data mining, Feature extraction, Matrix decomposition, Correlation, ITS, traffic data imputation BibRef

Mai, T.T.N.[Truong Thanh Nhat], Lam, E.Y.[Edmund Y.], Lee, C.[Chul],
Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging,
IP(31), 2022, pp. 5774-5787.
IEEE DOI 2209
Tensors, Heuristic algorithms, Optimization, Dynamic range, Image color analysis, Image synthesis, Cameras, algorithm unrolling BibRef

Zhang, Y.[Yang], Wang, Y.[Yao], Han, Z.[Zhi], Chen, X.[Xi'ai], Tang, Y.D.[Yan-Dong],
Effective Tensor Completion via Element-Wise Weighted Low-Rank Tensor Train With Overlapping Ket Augmentation,
CirSysVideo(32), No. 11, November 2022, pp. 7286-7300.
IEEE DOI 2211
Tensors, Matrix decomposition, Task analysis, Automation, Signal processing algorithms, Optimization, Mathematical models, ket augmentation BibRef

Wang, X.H.[Xiao-Hang], Yu, P.L.H.[Philip L.H.], Yang, W.D.[Wei-Dong], Su, J.[Jun],
Bayesian robust tensor completion via CP decomposition,
PRL(163), 2022, pp. 121-128.
Elsevier DOI 2212
Robust Tensor completion, Bayesian inference, Complex noise, Mixture of Gaussian (MoG) model BibRef

He, Y.C.[Yi-Cong], Atia, G.K.[George K.],
Patch Tracking-Based Streaming Tensor Ring Completion for Visual Data Recovery,
CirSysVideo(32), No. 12, December 2022, pp. 8312-8326.
IEEE DOI 2212
Tensors, Signal processing algorithms, Electron tubes, Visualization, Tracking, Streaming media, Stacking, streaming video processing BibRef

Jiang, W.[Wei], Zhang, J.[Jun], Zhang, C.S.[Chang-Sheng], Wang, L.J.[Li-Jun], Qi, H.[Heng],
Robust low tubal rank tensor completion via factor tensor norm minimization,
PR(135), 2023, pp. 109169.
Elsevier DOI 2212
Low tubal rank tensor completion, Schatten- norm, Tensor double nuclear norm, Tensor frobenius/nuclear norm BibRef

Kajo, I.[Ibrahim], Kas, M.[Mohamed], Ruichek, Y.[Yassine], Kamel, N.[Nidal],
Tensor based completion meets adversarial learning: A win-win solution for change detection on unseen videos,
CVIU(226), 2023, pp. 103584.
Elsevier DOI 2212
Foreground segmentation, Low-rank approximation, GAN, SVD, Unseen videos, Stationary foreground, Lighting changes BibRef

Huang, Z.H.[Zhen-Hao], Qiu, Y.N.[Yu-Ning], Yu, J.S.[Jin-Shi], Zhou, G.X.[Guo-Xu],
Multi-Aspect Streaming Tensor Ring Completion for Dynamic Incremental Data,
SPLetters(29), 2022, pp. 2657-2661.
IEEE DOI 2301
Tensors, Streaming media, Data models, Computational modeling, Signal to noise ratio, Task analysis, sub-tensors BibRef

Deng, L.P.[Li-Ping], Xiao, M.Q.[Ming-Qing],
A New Automatic Hyperparameter Recommendation Approach Under Low-Rank Tensor Completion e Framework,
PAMI(45), No. 4, April 2023, pp. 4038-4050.
IEEE DOI 2303
Tensors, Task analysis, Search problems, Support vector machines, Optimization, Correlation, Testing, kernel function BibRef

Xu, L.[Le], Cheng, L.[Lei], Wong, N.[Ngai], Wu, Y.C.[Yik-Chung],
Tensor train factorization under noisy and incomplete data with automatic rank estimation,
PR(141), 2023, pp. 109650.
Elsevier DOI 2306
Bayesian inference, Tensor completion, Tensor train BibRef

Liao, T.C.[Tian-Chi], Wu, Z.[Zhebin], Chen, C.[Chuan], Zheng, Z.[Zibin], Zhang, X.J.[Xiong-Jun],
Tensor completion via convolutional sparse coding with small samples-based training,
PR(141), 2023, pp. 109624.
Elsevier DOI 2306
Tensor completion, Convolutional sparse coding, High-pass filter, Inexact ADMM BibRef

Li, B.Z.[Ben-Zheng], Zhao, X.L.[Xi-Le], Zhang, X.J.[Xiong-Jun], Ji, T.Y.[Teng-Yu], Chen, X.Y.[Xin-Yu], Ng, M.K.[Michael K.],
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion,
SIIMS(16), No. 3, 2023, pp. 1370-1397.
DOI Link 2309
BibRef

Wang, H.L.[Hai-Lin], Peng, J.J.[Jiang-Jun], Qin, W.J.[Wen-Jin], Wang, J.J.[Jian-Jun], Meng, D.Y.[De-Yu],
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness,
PAMI(45), No. 9, September 2023, pp. 10990-11007.
IEEE DOI 2309
BibRef

Zeng, H.J.[Hai-Jin], Xue, J.[Jize], Luong, H.Q.[Hiêp Q.], Philips, W.[Wilfried],
Multimodal Core Tensor Factorization and its Applications to Low-Rank Tensor Completion,
MultMed(25), 2023, pp. 7010-7024.
IEEE DOI 2311
BibRef

He, Y.C.[Yi-Cong], Atia, G.K.[George K.],
Coarse to Fine Two-Stage Approach to Robust Tensor Completion of Visual Data,
Cyber(54), No. 1, January 2024, pp. 136-149.
IEEE DOI 2312
BibRef


Lin, R.[Rui], Chen, C.[Cong], Wong, N.[Ngai],
Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion,
ICPR22(259-265)
IEEE DOI 2212
Tensors, Codes, Search problems, Boosting, Image restoration BibRef

Yamamoto, R.[Ryuki], Hontani, H.[Hidekata], Imakura, A.[Akira], Yokota, T.[Tatsuya],
Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space,
CVPR22(2048-2056)
IEEE DOI 2210
Tensors, Fourier transforms, Convolution, Computational modeling, Memory management, Computational efficiency, Low-level vision, Optimization methods BibRef

Wang, Z.L.[Zhan-Liang], Dong, J.Y.[Jun-Yu], Liu, X.G.[Xin-Guo], Zeng, X.Y.[Xue-Ying],
Low-Rank Tensor Completion by Approximating the Tensor Average Rank,
ICCV21(4592-4600)
IEEE DOI 2203
Tensors, Computational modeling, Transforms, Approximation algorithms, Convergence, BibRef

Sinha, T.K.[Tanmay Kumar], Naram, J.[Jayadev], Kumar, P.[Pawan],
Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion,
WACV22(4069-4077)
IEEE DOI 2202
Manifolds, Tensors, Image color analysis, Task analysis, Optimization, Hyperspectral imaging, Learning and Optimization Tensor Completion BibRef

Dhondea, A.[Ashiv], Cohen, R.A.[Robert A.], Bajic, I.V.[Ivan V.],
CALTEC: Content-Adaptive Linear Tensor Completion for Collaborative Intelligence,
ICIP21(2179-2183)
IEEE DOI 2201
Tensors, Image processing, Channel estimation, Packet loss, Collaboration, Propagation losses, Collaborative intelligence, missing data imputation BibRef

Li, S.[Sen], Luo, X.Y.[Xiao-Yan], Wang, Q.X.[Qi-Xiong], Li, L.[Lei], Shen, W.[Weifa], Yin, J.[Jihao],
Hyperspectral Classification Using Cooperative Spatial-Spectral Attention Network With Tensor Low-Rank Reconstruction,
ICIP21(2658-2662)
IEEE DOI 2201
Tensors, Neural networks, Feature extraction, Image reconstruction, Hyperspectral imaging, low-rank reconstruction BibRef

Gao, J., Shi, H., Wang, W.,
Spatially Regularized Low Rank Tensor Optimization for Visual Data Completion,
ICIP18(1822-1826)
IEEE DOI 1809
Tensile stress, Visualization, Color, Optimization, Indexes, Matrix decomposition, tensor completion, S-norm, LogDet function, visual data processing BibRef

Li, L., Jiang, F., Shen, R.,
Total Variation Regularized Reweighted Low-rank Tensor Completion for Color Image Inpainting,
ICIP18(2152-2156)
IEEE DOI 1809
Tensile stress, Color, Computational modeling, Optimization, TV, Signal processing algorithms, Correlation, color image recovery BibRef

Xue, S., Qiu, W., Liu, F., Jin, X.,
Low-Rank Tensor Completion by Truncated Nuclear Norm Regularization,
ICPR18(2600-2605)
IEEE DOI 1812
Tensile stress, Optimization, Matrix decomposition, Color, Matlab, Visualization BibRef

Chen, W., Song, N.,
Low-Rank Tensor Completion: A Pseudo-Bayesian Learning Approach,
ICCV17(3325-3333)
IEEE DOI 1802
Bayes methods, approximation theory, concave programming, convex programming, inverse problems, Tensile stress 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

Xie, J.C.[Jian-Chun], Yang, J.[Jian], Tai, Y.[Ying], Qian, J.J.[Jian-Jun],
Volume measurement based tensor completion,
ICIP16(1838-1842)
IEEE DOI 1610
Current measurement BibRef

Li, N.[Nan], Li, B.X.[Bao-Xin],
Tensor completion for on-board compression of hyperspectral images,
ICIP10(517-520).
IEEE DOI 1009
BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Object Removal, Inpainting After Removing Objects .


Last update:Apr 10, 2024 at 09:54:40