Batch Algorithms (17 papers)
Y. Yang, Y. Feng, J. Suykens, “Robust Low Rank Tensor Recovery with Regularized Redescending M-Estimator”, Preprint, 2014.
Z. Zhang, G. Ely, S. Aeron, N. Hao, M. Kilmer, “Novel methods for multilinear data completion and de-noising based on tensor-SVD”, IEEE conference on Computer Vision and Pattern Recognition, CVPR 2014, pages 3842–3849, 2014.
B. Jiang, S. Ma, S. Zhang, “New Ranks for Even-Order Tensors and Their Applications in Low-Rank Tensor”, Optimization, January 2015.
W. Ruan, P. Xu, Q. Sheng, N. Tran, N. Falkner, X. Li, W. Zhang, “When Sensor Meets Tensor: Filling Missing Sensor Values Through a Tensor Approach”, ACM International on Conference on Information and Knowledge Management, CIKM 2016, 2016.
W. Hu, D. Tao, W. Zhang, Y. Xie, Y. Yang, "The Twist Tensor Nuclear Norm for Video Completion", IEEE Transactions on Neural Networks and Learning Systems, 2016.
I. Kajo, N. Kamel, Y. Ruichek, A. Mali, “SVD-based Tensor Completion Technique for Background Initialization", IEEE Transaction on Image Processing, 2018.
I. Kajo, N. Kamel, Y. Ruichek, "Incremental tensor-based completion method for detection of stationary foreground objects", IEEE Transactions on Circuits and Systems for Video Technology, 2018.
T. Jiang, T. Huang, X. Zhao, L. Deng, “A novel nonconvex approach to recover the low-tubal-rank tensor data: when t-SVD meets PSSV”, Preprint, 2018.
J. Yang, Y. Zhu, K. Li, J. Yang, C. Hou, "Tensor Completion From Structurally-Missing Entries by Low-TT-rankness and Fiber-wise Sparsity”, IEEE Journal of Selected Topics in Signal Processing, December 2018.
A.Tom, S. George, “Video completion and simultaneous moving object detection for extreme surveillance environments", IEEE Signal Processing Letters, vol. 26, no. 4, pp. 577–581, 2019.
H. Huang, Y. Liu, C. Zhu, "Robust Low-Rank Tensor Ring Completion", Preprint, April 2020.
Y. Liu, X. Zhao, G. Song, Y. Zheng, T. Huang, "Fully-Connected Tensor Network Decomposition for Robust Tensor Completion Problem", Preprint, October 2021.
B. Shen, W. Xie, Z. Kong, “Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee”, Preprint, March 2022.
J. Jiang , M. Ng, "Robust Low-Tubal-Rank Tensor Completion via Convex Optimization", International Joint,Conference on Artificial Intelligence, pages 10-16, 2019.
Y. He, G. Atia, "Robust Low-Tubal-Rank Tensor Completion based on Tensor Factorization and Maximum Correntropy Criterion", Preprint, 2020.
M. Kilmer, L. Horesh, H. Avron, E. Newman “Tensor-tensor algebra for optimal representation and compression of multiway data”, National Academy of Sciences, Volume 118, No. 28, 2021.
F. Tian, M. Pasha, M. Kilmer, E. Miller, A. Patra, "Tensor Completion with BMD Factor Nuclear Norm Minimization", Preprint, February 2024.
Online Algorithms (4 papers)
I. Kajo, N. Kamel, Y. Ruichek, "Incremental tensor-based completion method for detection of stationary foreground object", IEEE Transactions on Circuits Systems and Video Technology, Volume 29, No. 5, pages 1325-1338, May 2019.
I. Kajo, N. Kamel, Y. Ruichek , “Tensor-Based Approach for Background Foreground Separation in Maritime Sequences”, IEEE Transactions on Intelligent Transportation Systems, 2020.
K. Gilman, D. Tarzanagh, L. Balzano, “Grassmannian optimization for online tensor completion and tracking with the t-SVD", IEEE Transactions on Signal Processing, Volume 70, pages 2152–2167, 2022.
G. Yu, S. Wan, C. Ling, L. Qi, Y. Xu, “Tensor Train Factorization with Spatio-temporal Smoothness for Streaming Low-rank Tensor Completion”, Frontiers of Mathematics, March 2024.