Accelerating Large-Scale Regularized High-Order Tensor Recovery | Paper Citation Record

Observation dbdc790f-b04b-4eab-862d-9d1dc819e694 · outbound

This paper cites Tensor networks for dimensionality reduction and large-scale optimization: Part 1 low-rank tensor decompositions,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor networks for dimensionality reduction and large-scale optimization: Part 1 low-rank tensor decompositions,

Reference 1

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Observation 7a422b32-689c-4e8b-baa4-01aeee49717e · outbound

This paper cites Turning big data into tiny data: Constant-size coresets for k-means, pca, and projective clustering,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Turning big data into tiny data: Constant-size coresets for k-means, pca, and projective clustering,

Reference 2

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This paper cites Liu, Tensors for data processing: theory, methods, and applications.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Liu, Tensors for data processing: theory, methods, and applications

Reference 3

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This paper cites an unresolved cited work.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Unresolved cited work

Reference 4

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This paper cites An optimal statistical and computational framework for generalized tensor estimation,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery An optimal statistical and computational framework for generalized tensor estimation,

Reference 5

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Observation a4256096-7762-47c3-9f57-d6da2d07c70f · outbound

This paper cites Generalized low-rank plus sparse tensor estimation by fast Riemannian optimization,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Generalized low-rank plus sparse tensor estimation by fast Riemannian optimization,

Reference 6

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Observation 79c63d69-067e-4d14-ba3f-c5e7ddf024d7 · outbound

This paper cites Provable tensor-train format tensor completion by riemannian optimization,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Provable tensor-train format tensor completion by riemannian optimization,

Reference 7

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This paper cites Scaling and scalability: Provable nonconvex low-rank tensor estimation from incomplete measurements,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Scaling and scalability: Provable nonconvex low-rank tensor estimation from incomplete measurements,

Reference 8

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This paper cites Guaranteed nonconvex factorization approach for tensor train recovery,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Guaranteed nonconvex factorization approach for tensor train recovery,

Reference 9

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Observation 6735fe50-6277-405f-b475-53b4e80a02e1 · outbound

This paper cites Tensor robust principal component analysis with a new tensor nuclear norm,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor robust principal component analysis with a new tensor nuclear norm,

Reference 10

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Observation c4f230df-2307-4310-aa72-26d7d6b19143 · outbound

This paper cites Low-tubal-rank plus sparse tensor recovery with prior subspace information,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Low-tubal-rank plus sparse tensor recovery with prior subspace information,

Reference 11

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Observation a43489e0-5084-43ce-8006-a70d38966f30 · outbound

This paper cites Ro- bust low-tubal-rank tensor recovery from binary measurements,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Ro- bust low-tubal-rank tensor recovery from binary measurements,

Reference 12

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Observation ea17f0d4-0ec3-4aae-8342-0577d9a0fb9c · outbound

This paper cites Tensor robust principal component analysis from multilevel quantized observations,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor robust principal component analysis from multilevel quantized observations,

Reference 13

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This paper cites Guaranteed tensor recovery fused low-rankness and smoothness,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Guaranteed tensor recovery fused low-rankness and smoothness,

Reference 14

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This paper cites Low-rank tensor function representation for multi-dimensional data recovery,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Low-rank tensor function representation for multi-dimensional data recovery,

Reference 15

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Observation 219c5e6b-3c10-4908-959f-2575c80bf478 · outbound

This paper cites Noncon- vex robust high-order tensor completion using randomized low-rank approximation,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Noncon- vex robust high-order tensor completion using randomized low-rank approximation,

Reference 16

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This paper cites Learned tensor neural network texture prior for photon-counting CT reconstruction,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Learned tensor neural network texture prior for photon-counting CT reconstruction,

Reference 17

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This paper cites Bayesian temporal factorization for multidimen- sional time series prediction,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Bayesian temporal factorization for multidimen- sional time series prediction,

Reference 18

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Observation 68c8d2fa-4ff5-4634-b9cc-aba8405cbfcd · outbound

This paper cites Integrated sensing and communication with massive MIMO: A unified tensor approach for channel and target parameter estimation,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Integrated sensing and communication with massive MIMO: A unified tensor approach for channel and target parameter estimation,

Reference 19

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Observation 97992553-c01d-4d2d-8d53-0cc17f976042 · outbound

This paper cites Non-local meets global: An iterative paradigm for hyperspectral image restoration,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Non-local meets global: An iterative paradigm for hyperspectral image restoration,

Reference 20

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Observation 0b93e9d7-b7d6-41f3-b41b-520199a8dcdd · outbound

This paper cites Tensor decompositions for signal processing applications: From two-way to multiway component analysis,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor decompositions for signal processing applications: From two-way to multiway component analysis,

Reference 21

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This paper cites Tensor methods in computer vision and deep learning,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor methods in computer vision and deep learning,

Reference 22

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Observation bd31d3a3-c057-49d2-8167-19d23266a39e · outbound

This paper cites Bayesian CP factorization of incomplete tensors with automatic rank determination,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Bayesian CP factorization of incomplete tensors with automatic rank determination,

Reference 23

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This paper cites Bayesian low rank tensor ring for image recovery,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Bayesian low rank tensor ring for image recovery,

Reference 24

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Observation b5dc0c41-a3af-4ec7-b50f-6a0387e82d9d · outbound

This paper cites Low-tubal-rank tensor completion using alternating minimization,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Low-tubal-rank tensor completion using alternating minimization,

Reference 25

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Observation b5868af7-e0c4-4b84-8ab7-9927176f51fc · outbound

This paper cites Fully-connected tensor network decomposition and its application to higher-order tensor completion,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Fully-connected tensor network decomposition and its application to higher-order tensor completion,

Reference 26

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Observation 7986f4d9-eb8a-44ea-bef3-0f184b1b20d8 · outbound

This paper cites Tensor wheel decomposition and its tensor completion application,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor wheel decomposition and its tensor completion application,

Reference 27

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This paper cites Tensor-ring nuclear norm minimization and application for visual: Data completion,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor-ring nuclear norm minimization and application for visual: Data completion,

Reference 28

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This paper cites Low-rank high-order tensor completion with applications in visual data,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Low-rank high-order tensor completion with applications in visual data,

Reference 29

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This paper cites Tensor n-tubal rank and its convex relaxation for low-rank tensor recovery,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor n-tubal rank and its convex relaxation for low-rank tensor recovery,

Reference 30

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Observation bde36f07-69ba-4369-8841-4016063a60d9 · outbound

This paper cites Revisiting high-order tensor singular value decomposition from basic element perspective,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Revisiting high-order tensor singular value decomposition from basic element perspective,

Reference 31

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Observation 94358239-6714-4f22-aa7f-8555c3418e50 · outbound

This paper cites Multiplex transformed tensor decomposition for multidimensional image recovery,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Multiplex transformed tensor decomposition for multidimensional image recovery,

Reference 32

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Observation 45dd3527-b00a-42ab-9c21-6f9b59e5e095 · outbound

This paper cites Robust low-rank tensor recovery: Models and algorithms,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust low-rank tensor recovery: Models and algorithms,

Reference 33

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This paper cites Robust low-rank tensor ring completion,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust low-rank tensor ring completion,

Reference 34

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This paper cites Robust tensor completion via capped frobenius norm,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust tensor completion via capped frobenius norm,

Reference 35

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This paper cites Fully-connected tensor network decomposition for robust tensor completion problem,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Fully-connected tensor network decomposition for robust tensor completion problem,

Reference 36

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This paper cites Robust tensor completion from uniformly dithered one-bit observations,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust tensor completion from uniformly dithered one-bit observations,

Reference 37

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Observation f7f90748-ad59-4048-ba39-24f7736770dd · outbound

This paper cites Robust low-tubal-rank tensor completion via convex optimization.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust low-tubal-rank tensor completion via convex optimization

Reference 38

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This paper cites Robust low-rank tensor minimization via a new tensor spectral k-support norm,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust low-rank tensor minimization via a new tensor spectral k-support norm,

Reference 39

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This paper cites Robust tensor decomposition via t-SVD: Near-optimal statistical guarantee and scalable algorithms,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust tensor decomposition via t-SVD: Near-optimal statistical guarantee and scalable algorithms,

Reference 40

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Observation 53cf0bd7-b7b9-4ce6-8618-79582bdfc462 · outbound

This paper cites Robust tensor completion us- ing transformed tensor singular value decomposition,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust tensor completion us- ing transformed tensor singular value decomposition,

Reference 41

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Accelerating Large-Scale Regularized High-Order Tensor Recovery Ro- bust corrupted data recovery and clustering via generalized transformed tensor low-rank representation,

Reference 42

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This paper cites Bayesian low-tubal-rank robust tensor factorization with multi-rank determination,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Bayesian low-tubal-rank robust tensor factorization with multi-rank determination,

Reference 43

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This paper cites Tensor robust principal component analysis via tensor fibered rank and ℓp minimization,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor robust principal component analysis via tensor fibered rank and ℓp minimization,

Reference 44

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This paper cites Generalized nonconvex hyperspectral anomaly detection via background representation learning with dictionary con- straint,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Generalized nonconvex hyperspectral anomaly detection via background representation learning with dictionary con- straint,

Reference 45

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This paper cites Tensor ring decomposition-based generalized and efficient nonconvex approach for hyperspectral anomaly detection,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor ring decomposition-based generalized and efficient nonconvex approach for hyperspectral anomaly detection,

Reference 46

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This paper cites Tensor compressive sensing fused low-rankness and local-smoothness,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor compressive sensing fused low-rankness and local-smoothness,

Reference 47

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Observation d2271f24-e1e7-46e3-82b6-3c7b9088ff72 · outbound

This paper cites Tensor recovery from binary measurements fused low-rankness and smoothness,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor recovery from binary measurements fused low-rankness and smoothness,

Reference 48

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This paper cites Low-tubal-rank tensor recovery via factorized gradient descent,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Low-tubal-rank tensor recovery via factorized gradient descent,

Reference 49

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This paper cites Generalized nonconvex approach for low-tubal-rank tensor recovery,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Generalized nonconvex approach for low-tubal-rank tensor recovery,

Reference 50

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This paper cites 3-D array image data completion by tensor decomposition and nonconvex regularization approach,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery 3-D array image data completion by tensor decomposition and nonconvex regularization approach,

Reference 51

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This paper cites Low-rank tensor completion via novel sparsity-inducing regularizers,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Low-rank tensor completion via novel sparsity-inducing regularizers,

Reference 52

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Observation b7cd3177-1849-41e4-b7e4-d9deb5fc7897 · outbound

This paper cites Tensor recovery based on a novel non-convex function minimax logarithmic concave penalty function,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor recovery based on a novel non-convex function minimax logarithmic concave penalty function,

Reference 53

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Observation 94da1110-ab7d-4f6b-a546-97f7f5166f96 · outbound

This paper cites Robust low-rank tensor recovery via nonconvex singular value minimization,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust low-rank tensor recovery via nonconvex singular value minimization,

Reference 54

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Observation f43dce9d-7c57-44f1-9ffb-aa6ebac65646 · outbound

This paper cites Nonlocal robust tensor recovery with nonconvex regularization,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Nonlocal robust tensor recovery with nonconvex regularization,

Reference 55

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This paper cites Robust tensor completion: Equivalent surrogates, error bounds, and algorithms,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust tensor completion: Equivalent surrogates, error bounds, and algorithms,

Reference 56

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Observation 2c8200c6-b497-4686-a10e-b1d6c43e6eeb · outbound

This paper cites Robust tensor completion via dictionary learning and generalized nonconvex regularization for visual data recovery,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust tensor completion via dictionary learning and generalized nonconvex regularization for visual data recovery,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.999173Z

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Observation bb5a66f9-0386-4306-a88d-c9abecc08858 · outbound

This paper cites Robust low- rank tensor reconstruction using high-order t-SVD,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust low- rank tensor reconstruction using high-order t-SVD,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.988248Z

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Observation d9724d12-6342-4c06-b79f-ab939c997038 · outbound

This paper cites Robust high-order tensor recovery via nonconvex low-rank approximation,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust high-order tensor recovery via nonconvex low-rank approximation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.978168Z

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Observation 006ac68a-3684-4b47-bd3b-8c4d9af35a0c · outbound

This paper cites Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.967879Z

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Observation edc7fa2c-824c-4bd2-bdad-064bcb241a1e · outbound

This paper cites Randomized numerical linear algebra: Foundations and algorithms,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Randomized numerical linear algebra: Foundations and algorithms,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.957095Z

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Observation dc9c69ce-4b33-4da7-8318-1655cebd6394 · outbound

This paper cites A randomized blocked algorithm for efficiently computing rank-revealing factorizations of matrices,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery A randomized blocked algorithm for efficiently computing rank-revealing factorizations of matrices,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.945230Z

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Observation eb30bc3e-d636-4b56-a350-4f70d91aa8a6 · outbound

This paper cites Practical sketching algorithms for low-rank matrix approximation,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Practical sketching algorithms for low-rank matrix approximation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.935255Z

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Observation bf1726ee-862c-4634-bb87-7a6a333fcd31 · outbound

This paper cites Efficient randomized algorithms for the fixed-precision low-rank matrix approximation,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Efficient randomized algorithms for the fixed-precision low-rank matrix approximation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.923956Z

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Observation f8b8e6e8-5e8e-438e-b5d9-dfc1900a6bfd · outbound

This paper cites Randomized projection for rank-revealing matrix factorizations and low-rank approximations,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Randomized projection for rank-revealing matrix factorizations and low-rank approximations,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.914118Z

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Observation 288f0909-713e-47cb-b7e9-53a8732de5f0 · outbound

This paper cites A block bidiagonalization method for fixed-accuracy low- rank matrix approximation,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery A block bidiagonalization method for fixed-accuracy low- rank matrix approximation,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.903129Z

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Observation aa813abc-f3fb-4259-9b7f-7846292b2558 · outbound

This paper cites An improved analysis and unified perspective on deterministic and randomized low-rank matrix approximation,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery An improved analysis and unified perspective on deterministic and randomized low-rank matrix approximation,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.893124Z

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Observation 5485c390-40e7-4350-b1a0-df665649b8c4 · outbound

This paper cites Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T04:51:10.176993Z

Source-reported events for the cited work

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Observation e886ca86-8a8e-409f-82c8-f59141f51b39 · outbound

This paper cites Block- randomized stochastic proximal gradient for low-rank tensor factor- ization,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Block- randomized stochastic proximal gradient for low-rank tensor factor- ization,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.883349Z

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Observation 8ccb5aaa-9899-46db-b813-19eb21272615 · outbound

This paper cites Practical leverage-based sampling for low-rank tensor decomposition,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Practical leverage-based sampling for low-rank tensor decomposition,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.873616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b275fa4f-d125-44ef-a770-5297b3856ca2 · outbound

This paper cites Randomized sampling techniques based low-tubal-rank plus sparse tensor recovery,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Randomized sampling techniques based low-tubal-rank plus sparse tensor recovery,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.863110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 40429516-9776-4d3d-93db-cb61c66012ad · outbound

This paper cites Fast randomized algorithms for t-product based tensor operations and decompositions with applications to imaging data,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Fast randomized algorithms for t-product based tensor operations and decompositions with applications to imaging data,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.853122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1832c034-168e-4b9b-8e2b-f0c8a6938d70 · outbound

This paper cites A randomized tensor singular value decomposition based on the t-product,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery A randomized tensor singular value decomposition based on the t-product,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.843344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e931d6e5-01a5-4b73-a808-a61b88b26f34 · outbound

This paper cites Fast randomized tensor singular value thresholding for low-rank tensor optimization,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Fast randomized tensor singular value thresholding for low-rank tensor optimization,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.832753Z

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Observation 029e13fa-f963-41dd-b214-0877133fcd47 · outbound

This paper cites The computation of low multilinear rank approximations of tensors via power scheme and random projection,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery The computation of low multilinear rank approximations of tensors via power scheme and random projection,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.822386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 69fcf6ab-b6d3-4bb4-ac22-8d37efa73c49 · outbound

This paper cites Randomized algorithms for the low multilinear rank approxi- mations of tensors,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Randomized algorithms for the low multilinear rank approxi- mations of tensors,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.811839Z

Source-reported events for the cited work

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Observation 61044641-c496-435f-b4b5-a274b5d84ec8 · outbound

This paper cites An efficient randomized algorithm for computing the approx- imate tucker decomposition,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery An efficient randomized algorithm for computing the approx- imate tucker decomposition,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.801536Z

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Observation ce3252ca-bb5b-4156-b382-d8553d007416 · outbound

This paper cites Randomized algorithms for the com- putation of multilinear rank- (µ1, µ2, µ3) approximations,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Randomized algorithms for the com- putation of multilinear rank- (µ1, µ2, µ3) approximations,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.790393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 487dd68d-7fd3-44ff-b328-8534547bf1d6 · outbound

This paper cites Practical sketching algorithms for low-rank tucker approximation of large tensors,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Practical sketching algorithms for low-rank tucker approximation of large tensors,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.779789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf7e9306-d426-4a36-a0a1-3fb47d8e64f3 · outbound

This paper cites Streaming coresets for symmetric tensor factorization,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Streaming coresets for symmetric tensor factorization,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.768054Z

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Observation 51a31128-0501-4893-9791-2048b0bbfe59 · outbound

This paper cites Tensor decompositions and applica- tions,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor decompositions and applica- tions,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.756800Z

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Observation 8cf1581d-63f5-4b9a-8dd1-a10e5044b577 · outbound

This paper cites An order- p tensor factorization with applications in imaging,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery An order- p tensor factorization with applications in imaging,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.746707Z

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Observation 57e08796-8bcb-49e4-8741-de532291cf43 · outbound

This paper cites High dimensional statistical estimation under uniformly dithered one-bit quantization,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery High dimensional statistical estimation under uniformly dithered one-bit quantization,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.736601Z

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Observation 567362fa-6703-4af9-b6e9-0ddcee836713 · outbound

This paper cites A new truncation strategy for the higher-order singular value decomposition,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery A new truncation strategy for the higher-order singular value decomposition,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.725019Z

Source-reported events for the cited work

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Observation d5524155-92f9-49db-b9a0-d36704215d2f · outbound

This paper cites Randomized algorithms for low-rank tensor decompositions in the tucker format,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Randomized algorithms for low-rank tensor decompositions in the tucker format,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.714045Z

Source-reported events for the cited work

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Observation 0f6d79c8-e64e-4036-86ca-0edab599a944 · outbound

This paper cites Randomized block krylov methods for stronger and faster approximate singular value decomposition,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Randomized block krylov methods for stronger and faster approximate singular value decomposition,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.703232Z

Source-reported events for the cited work

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Observation 03261402-7526-4e86-acfb-a6851f82930a · outbound

This paper cites Superlinear convergence of randomized block Lanczos algorithm,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Superlinear convergence of randomized block Lanczos algorithm,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.692988Z

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Observation 2d803f53-3554-47a0-a47f-bed3aaf965f3 · outbound

This paper cites On the unreasonable effectiveness of single vector krylov methods for low-rank approximation,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery On the unreasonable effectiveness of single vector krylov methods for low-rank approximation,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.683013Z

Source-reported events for the cited work

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Observation 44356f56-2d07-42eb-b628-9cff9bdc7d71 · outbound

This paper cites Tensor nuclear norm-based low-rank approximation with total variation regularization,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Tensor nuclear norm-based low-rank approximation with total variation regularization,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.672738Z

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Observation 290686e8-5f6e-427d-bb90-245233e5e208 · outbound

This paper cites Robust low-rank tensor completion via transformed tensor nuclear norm with total variation regularization,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Robust low-rank tensor completion via transformed tensor nuclear norm with total variation regularization,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T04:51:10.257391Z

Source-reported events for the cited work

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Observation 681ee55f-24ad-498a-9ba0-f3110cbaa3ed · outbound

This paper cites Waveshrink with firm shrinkage,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Waveshrink with firm shrinkage,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.656830Z

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Observation 7ff4f662-ea31-4f3e-ac23-2887058e675a · outbound

This paper cites A general iterative shrinkage and thresholding algorithm for non-convex regularized opti- mization problems,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery A general iterative shrinkage and thresholding algorithm for non-convex regularized opti- mization problems,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.645784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation df640669-746e-4f8b-8349-a52cb7410f38 · outbound

This paper cites On ℓq optimization and matrix comple- tion,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery On ℓq optimization and matrix comple- tion,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.634757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c06d85a-c529-44e5-86df-2bf777faeec7 · outbound

This paper cites Variable selection via nonconcave penalized like- lihood and its oracle properties,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Variable selection via nonconcave penalized like- lihood and its oracle properties,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.622672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a0d1273-6c1c-455b-9b26-692db1e69c71 · outbound

This paper cites Nearly unbiased variable selection under minimax concave penalty,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Nearly unbiased variable selection under minimax concave penalty,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T04:51:10.276198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8be9b0a8-d107-496b-aed0-94c7a1f9d189 · outbound

This paper cites Matrix completion via schatten capped p norm,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Matrix completion via schatten capped p norm,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.605754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4738b8b-6072-47e3-ba54-3a08be1f7a24 · outbound

This paper cites Group sparse optimization for images recovery using capped folded concave functions,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Group sparse optimization for images recovery using capped folded concave functions,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.595148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 86ad5f37-d1ad-44aa-81e5-6a2a1f236fbc · outbound

This paper cites Patched-tube unitary transform for robust tensor completion,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Patched-tube unitary transform for robust tensor completion,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.584781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 717585bf-36b0-443e-a89a-c4b41098f58d · outbound

This paper cites Nonconvex optimization for robust tensor completion from grossly sparse observations,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery Nonconvex optimization for robust tensor completion from grossly sparse observations,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.574552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b6d2c6ca-d768-4c37-82cc-de0346f0469e · outbound

This paper cites A generalized non-convex method for robust tensor completion,.

Accelerating Large-Scale Regularized High-Order Tensor Recovery A generalized non-convex method for robust tensor completion,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:51:10.563932Z

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