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A Nonconvex Relaxation Approach to Low-Rank Tensor Completion
IEEE Transactions on Neural Networks and Learning Systems, 2019Low-rank tensor completion plays an important role in many applications such as image processing, computer vision, and machine learning. A widely used convex relaxation of this problem is to minimize the nuclear norm of the square deal matrix generated by reshaping a tensor. However, this approach can be substantially suboptimal.
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Robust Low-Rank and Sparse Tensor Decomposition for Low-Rank Tensor Completion
2021 33rd Chinese Control and Decision Conference (CCDC), 2021Yuqing Shi, Shiqiang Du, Weilan Wang
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Low-Rank Tensor Completion with Spatio-Temporal Consistency
Proceedings of the AAAI Conference on Artificial Intelligence, 2014Video completion is a computer vision technique to recover the missing values in video sequences by filling the unknown regions with the known information. In recent research, tensor completion, a generalization of matrix completion for higher order data, emerges as a new solution to estimate the missing information in video with the ...
Hua Wang, Feiping Nie, Heng Huang
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Optimal Low-Rank Tensor Tree Completion
2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023Zihan Li, Ce Zhu, Zhen Long, Yipeng Liu
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Low-Rank Tensor Completion Method for Implicitly Low-Rank Visual Data
IEEE Signal Processing Letters, 2022Teng-Yu Ji, Xi-Le Zhao, Dong-Lin Sun
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Low‐Rank Tensor Completion via Tensor Joint Rank With Logarithmic Composite Norm
Numerical Linear Algebra with ApplicationsABSTRACTLow‐rank tensor completion (LRTC) aims to recover a complete low‐rank tensor from incomplete observed tensor, attracting extensive attention in various practical applications such as image processing and computer vision. However, the current methods often perform well only when there is a sufficient of observed information, and they perform ...
Hongbing Zhang, Bing Zheng
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Parallel convolutional processing using an integrated photonic tensor core
Nature, 2021Johannes Feldmann, Nathan Youngblood
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Double Factor Tensor Norm Regularized Low Rank Tensor Completion
Advances in Applied Mathematics, 2022openaire +1 more source
Tensor lattice field theory for renormalization and quantum computing
Reviews of Modern Physics, 2022Yannick Meurice +2 more
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Third-order nonlinear Hall effect induced by the Berry-connection polarizability tensor
Nature Nanotechnology, 2021Shen Lai, Huiying Liu, Zhaowei Zhang
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