Regularized and structured tensor total least squares methods with applications
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Publication:6614698
DOI10.1007/s10957-024-02507-1zbMATH Open1548.65138MaRDI QIDQ6614698
Peng-Peng Xie, Yimin Wei, Feiyang Han
Publication date: 7 October 2024
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
General nonlinear regression (62J02) Numerical optimization and variational techniques (65K10) Multilinear algebra, tensor calculus (15A69)
Cites Work
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- Tensor-on-Tensor Regression
- An Analysis of the Total Least Squares Problem
- Factorization strategies for third-order tensors
- Numerical regularization for atmospheric inverse problems
- Golub-Kahan bidiagonalization for ill-conditioned tensor equations with applications
- Algebraic relationships between classical regression and total least- squares estimation
- Structured total least squares and \(L_ 2\) approximation problems
- TLS formulation and core reduction for problems with structured right-hand sides
- Some convergence results on the regularized alternating least-squares method for tensor decomposition
- On TLS formulation and core reduction for data fitting with generalized models
- Tensor Krylov subspace methods with an invertible linear transform product applied to image processing
- Tensor extrapolation methods with applications
- Randomized Kaczmarz for tensor linear systems
- A tensor regularized nuclear norm method for image and video completion
- An efficient Gauss-Newton algorithm for solving regularized total least squares problems
- RBF approximation of three dimensional PDEs using tensor Krylov subspace methods
- Weighted tensor Golub-Kahan-Tikhonov-type methods applied to image processing using a t-product
- An efficient algorithm for computing the approximate t-URV and its applications
- Generalized tensor function via the tensor singular value decomposition based on the T-product
- Tensor neural network models for tensor singular value decompositions
- Solving sparse non-negative tensor equations: algorithms and applications
- Regularized total least squares based on quadratic eigenvalue problem solvers
- TLS-EM algorithm of mixture density models for exponential families
- T-Jordan canonical form and T-Drazin inverse based on the T-product
- A fixed point iterative method for third-order tensor linear complementarity problems
- Fast structured total least squares algorithm for solving the basic deconvolution problem
- Sensitivity and Conditioning of the Truncated Total Least Squares Solution
- Facial Recognition Using Tensor-Tensor Decompositions
- An Inverse Iteration Method for Eigenvalue Problems with Eigenvector Nonlinearities
- Randomized algorithms for total least squares problems
- NLEVP
- The tensor t‐function: A definition for functions of third‐order tensors
- Regularized Total Least Squares: Computational Aspects and Error Bounds
- Regularization by Truncated Total Least Squares
- Blind Deconvolution of DS-CDMA Signals by Means of Decomposition in Rank-(1, L, L) Terms
- Tensor Factorization for Low-Rank Tensor Completion
- Exact Tensor Completion Using t-SVD
- Efficient Algorithms for Solution of Regularized Total Least Squares
- Nonlinear eigenvalue problems: a challenge for modern eigenvalue methods
- On an Eigenvector-Dependent Nonlinear Eigenvalue Problem
- Tikhonov Regularization and Total Least Squares
- Total Least Norm Formulation and Solution for Structured Problems
- An Order-$p$ Tensor Factorization with Applications in Imaging
- The tensor Golub–Kahan–Tikhonov method applied to the solution of ill‐posed problems with a t‐product structure
- RidgeSketch: A Fast Sketching Based Solver for Large Scale Ridge Regression
- Updating a Rank-Revealing ULV Decomposition
- Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging
- A Global Solution for the Structured Total Least Squares Problem with Block Circulant Matrices
- Fast Multilinear Singular Value Decomposition for Structured Tensors
- Tensor Regression with Applications in Neuroimaging Data Analysis
- On the Solution of the Tikhonov Regularization of the Total Least Squares Problem
- Regularized Kaczmarz Algorithms for Tensor Recovery
- Fast randomized tensor singular value thresholding for low‐rank tensor optimization
- Krylov Subspace Approach to Core Problems within Multilinear Approximation Problems: A Unifying Framework
- On tensor tubal-Krylov subspace methods
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