11.14.3.6.6 Tensor Completion

Chapter Contents (Back)
Computation.

Zhou, P.[Pan], Lu, C.[Canyi], 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

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

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.[Qibin], 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

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., Ng, M.,
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


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, computer vision, 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

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:Dec 7, 2019 at 17:16:29