Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling | Paper Citation Record

Observation 7ce41011-2966-4e86-aaea-3a20c362e072 · outbound

This paper cites Tensor completion for estimating missing values in visual data.IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(1):208–220, 2013.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Tensor completion for estimating missing values in visual data.IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(1):208–220, 2013

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Observation 848e3396-ac03-47ca-adc0-0d568595e7d8 · outbound

This paper cites Factorization strategies for third-order tensors.Linear Algebra and its Applications, 435(3):641–658, 2011.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Factorization strategies for third-order tensors.Linear Algebra and its Applications, 435(3):641–658, 2011

Reference 2

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Observation 54aa8306-7935-4104-924a-34b48363382f · outbound

This paper cites Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration

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Observation 4302c346-0446-4c84-b32b-70bb853021c4 · outbound

This paper cites Mode-wise tensor decom- positions: Multi-dimensional generalizations of CUR decompositions.Journal of Machine Learning Research, 22(185):1–36, 2021.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Mode-wise tensor decom- positions: Multi-dimensional generalizations of CUR decompositions.Journal of Machine Learning Research, 22(185):1–36, 2021

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Observation 134d06f5-875c-456d-8dd1-960d2ca07dad · outbound

This paper cites A tensor higher-order singular value decomposition for prestack seismic data noise reduction and interpolation.Geophysics, 77(3):V113–V122, 2012.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling A tensor higher-order singular value decomposition for prestack seismic data noise reduction and interpolation.Geophysics, 77(3):V113–V122, 2012

Reference 5

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Observation 10d07ecc-a953-4ef3-bca3-31d29c6ca9d7 · outbound

This paper cites Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering

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Observation 24ec4751-9a00-4ace-a4ca-8ff2dc7c25b3 · outbound

This paper cites Novel methods for multilinear data completion and de-noising based on tensor-SVD.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Novel methods for multilinear data completion and de-noising based on tensor-SVD

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Observation c62ecf6b-fe62-4916-a38e-612d3b3fc182 · outbound

This paper cites Exact tensor completion using t-SVD.IEEE Transactions on Signal Processing, 65(6):1511–1526, 2016.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Exact tensor completion using t-SVD.IEEE Transactions on Signal Processing, 65(6):1511–1526, 2016

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Observation c31eb7b9-1914-45da-bcc5-655cd1e15b99 · outbound

This paper cites Optimal matrix-mimetic tensor algebras via variable projection.SIAM Journal on Matrix Analysis and Applications, 46(3):1764–1790, 2025.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Optimal matrix-mimetic tensor algebras via variable projection.SIAM Journal on Matrix Analysis and Applications, 46(3):1764–1790, 2025

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Observation 9b6fae6c-9995-4cbf-9127-deb787ad9761 · outbound

This paper cites Collaborative Filtering and the Missing at Random Assumption.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Collaborative Filtering and the Missing at Random Assumption

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Observation 03fa944f-6445-4eb4-941b-f52097461968 · outbound

This paper cites Variable density sampling with continuous trajectories.SIAM Journal on Imaging Sciences, 7(4):1962–1992, 2014.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Variable density sampling with continuous trajectories.SIAM Journal on Imaging Sciences, 7(4):1962–1992, 2014

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Observation 7db7104a-e469-46fe-a10e-a3f23d7c7bac · outbound

This paper cites Tensor CUR decomposition under t-product and its perturbation.Numerical Functional Analysis and Optimization, 43(6):698–722, 2022.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Tensor CUR decomposition under t-product and its perturbation.Numerical Functional Analysis and Optimization, 43(6):698–722, 2022

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Observation bd5983b3-8347-4ef3-8308-38d7039599ed · outbound

This paper cites Adaptive cross tubal tensor approximation.Linear Algebra and its Applications, 695:168–190, 2024.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Adaptive cross tubal tensor approximation.Linear Algebra and its Applications, 695:168–190, 2024

Reference 13

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Observation ace7a7d8-420f-4264-9941-b7c2db34c6bf · outbound

This paper cites CUR matrix decompositions for improved data analysis.Proceedings of the National Academy of Sciences, 106(3):697–702, 2009.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling CUR matrix decompositions for improved data analysis.Proceedings of the National Academy of Sciences, 106(3):697–702, 2009

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Observation c0f6fa50-ded4-4024-ba9c-c7ab91143975 · outbound

This paper cites Relative-error CUR matrix decompositions.SIAM Journal on Matrix Analysis and Applications, 30(2):844–881, 2008.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Relative-error CUR matrix decompositions.SIAM Journal on Matrix Analysis and Applications, 30(2):844–881, 2008

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Observation 009a8d5f-c95a-4ec1-a63e-53f1e6bfd157 · outbound

This paper cites Perspectives on CUR decompositions.Applied and Computational Harmonic Analysis, 48(3):1088–1099, 2020.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Perspectives on CUR decompositions.Applied and Computational Harmonic Analysis, 48(3):1088–1099, 2020

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Observation 9f35fdcb-212c-4da9-a625-e55c5d93d291 · outbound

This paper cites Stability of sampling for CUR decompositions.Foundations of Data Science, 2(2):83–99, 2020.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Stability of sampling for CUR decompositions.Foundations of Data Science, 2(2):83–99, 2020

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Observation 51ec185f-9325-4ab7-b749-f022456893fe · outbound

This paper cites an unresolved cited work.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Unresolved cited work

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Observation 74dde124-77f7-4c56-a6a6-bd67beec6321 · outbound

This paper cites Guaranteed Sampling Flexibility for Low-tubal-rank Tensor Completion.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Guaranteed Sampling Flexibility for Low-tubal-rank Tensor Completion

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Observation 64b8af47-6a20-4aa6-965d-68ae6b75af37 · outbound

This paper cites On the robustness of cross- concentrated sampling for matrix completion.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling On the robustness of cross- concentrated sampling for matrix completion

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This paper cites Cand` es, Xiaodong Li, Yi Ma, and John Wright.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Cand` es, Xiaodong Li, Yi Ma, and John Wright

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This paper cites Non- convex robust PCA.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Non- convex robust PCA

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This paper cites Fast algorithms for robust PCA via gradient descent.Advances in neural information processing systems, 29, 2016.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Fast algorithms for robust PCA via gradient descent.Advances in neural information processing systems, 29, 2016

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This paper cites Accelerated alternating projections for robust principal component analysis.Journal of Machine Learning Research, 20(1):685–717, 2019.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Accelerated alternating projections for robust principal component analysis.Journal of Machine Learning Research, 20(1):685–717, 2019

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Learned robust PCA: A scalable deep unfolding approach for high-dimensional outlier detection

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This paper cites Accelerating ill-conditioned low-rank matrix estimation via scaled gradient descent.Journal of Machine Learning Research, 22(150):1–63, 2021.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Accelerating ill-conditioned low-rank matrix estimation via scaled gradient descent.Journal of Machine Learning Research, 22(150):1–63, 2021

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This paper cites Tensor robust principal component analysis with a new tensor nuclear norm.IEEE transactions on pattern analysis and machine intelligence, 42(4):925–938, 2019.

Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Tensor robust principal component analysis with a new tensor nuclear norm.IEEE transactions on pattern analysis and machine intelligence, 42(4):925–938, 2019

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Low-rank matrix recovery from errors and erasures.IEEE Transactions on Information Theory, 59(7):4324–4337, 2013

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Robust matrix completion.Probability Theory and Related Fields, 169(1):523–564, 2017

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Nearly optimal robust matrix completion

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Deeply learned robust matrix completion for large-scale low-rank data recovery.IEEE Transactions on Pattern Analysis and Machine Intelligence, 48(6):6541–6556, 2026

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Nonconvex robust low-rank matrix recovery.SIAM Journal on Optimization, 30(1):660–686, 2020

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Guarantees of a preconditioned subgradi- ent algorithm for overparameterized asymmetric low-rank matrix recovery

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Robust matrix completion via maximum correntropy criterion and half-quadratic optimization.IEEE Transactions on Signal Processing, 68:181–195, 2019

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Robust spectral compressed sensing via structured matrix completion.IEEE Transactions on Information Theory, 60(10):6576–6601, 2014

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Correction of corrupted columns through fast robust hankel matrix completion.IEEE Transactions on Signal Processing, 67(10):2580–2594, 2019

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Structured gradient descent for fast robust low- rank hankel matrix completion.SIAM Journal on Scientific Computing, 45(3):A1172–A1198, 2023

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Accelerating ill-conditioned hankel matrix recovery via structured newton-like descent.Inverse Problems, 41(7):075015, 2025

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Bayesian robust tensor factorization for incomplete multiway data.IEEE transactions on neural networks and learning systems, 27(4):736–748, 2015

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Robust low-rank tensor ring completion

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Robust tensor completion: Equivalent surrogates, error bounds, and algorithms.SIAM Journal on Imaging Sciences, 15(2):625–669, 2022

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Robust low-tubal-rank tensor completion

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Unresolved cited work

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Guaranteed nonconvex low-rank tensor estimation via scaled gradient descent

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Robust tensor CUR decom- positions: Rapid low-tucker-rank tensor recovery with sparse corruptions.SIAM Journal on Imaging Sciences, 17(1):225–247, 2024

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Robust regression using iteratively reweighted least-squares

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling Black and Anand Rangarajan

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling A large annotated medical image dataset for the development and evaluation of segmentation algorithms

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Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling The medical segmentation decathlon.Nature communications, 13(1), 2022

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