Pages that link to "Item:Q2631991"
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The following pages link to Randomized algorithms for the approximations of Tucker and the tensor train decompositions (Q2631991):
Displaying 50 items.
- Randomized interpolative decomposition of separated representations (Q728743) (← links)
- Weighted Moore-Penrose inverses of arbitrary-order tensors (Q1983772) (← links)
- Z-singular value and Z-singular value inclusion sets for tensors (Q2009490) (← links)
- An efficient randomized algorithm for computing the approximate Tucker decomposition (Q2049079) (← links)
- Dual core generalized inverse of third-order dual tensor based on the T-product (Q2099547) (← links)
- Perturbations of the \textsc{Tcur} decomposition for tensor valued data in the Tucker format (Q2159450) (← links)
- General tail bounds for random tensors summation: majorization approach (Q2161071) (← links)
- An efficient algorithm for computing the approximate t-URV and its applications (Q2162323) (← links)
- Randomized algorithms for the low multilinear rank approximations of tensors (Q2226319) (← links)
- On the convergence of Krylov methods with low-rank truncations (Q2234488) (← links)
- Stochastic structured tensors to stochastic complementarity problems (Q2307703) (← links)
- Tensor neural network models for tensor singular value decompositions (Q2307707) (← links)
- Perturbation theory for Moore-Penrose inverse of tensor via Einstein product (Q2322754) (← links)
- \(Z\)-eigenvalues based structured tensors: \(\mathcal{M}_Z\)-tensors and strong \(\mathcal{M}_Z\)-tensors (Q2326368) (← links)
- Low-rank tensor completion based on log-det rank approximation and matrix factorization (Q2330690) (← links)
- The symmetric rank and decomposition of \(m\)-order \(n\)-dimensional \((n = 2,3,4)\) symmetric tensors over the binary field (Q2676730) (← links)
- Low-rank nonnegative tensor approximation via alternating projections and sketching (Q2685220) (← links)
- A randomized singular value decomposition for third-order oriented tensors (Q2697009) (← links)
- Randomized alternating least squares for canonical tensor decompositions: application to a PDE with random data (Q2818256) (← links)
- A randomized tensor singular value decomposition based on the t‐product (Q4558717) (← links)
- A Practical Randomized CP Tensor Decomposition (Q4643335) (← links)
- Randomized Algorithms for Low-Rank Tensor Decompositions in the Tucker Format (Q5027024) (← links)
- Structured Matrix Approximations via Tensor Decompositions (Q5057769) (← links)
- Tensor CUR Decomposition under T-Product and Its Perturbation (Q5080258) (← links)
- Solving coupled tensor equations via higher order LSQR methods (Q5081341) (← links)
- Fourth-order tensor Riccati equations with the Einstein product (Q5084716) (← links)
- The least-squares solution with the least norm to a system of tensor equations over the quaternion algebra (Q5084723) (← links)
- The Computation of Low Multilinear Rank Approximations of Tensors via Power Scheme and Random Projection (Q5112244) (← links)
- Outer and (b,c) inverses of tensors (Q5145548) (← links)
- Multiresolution Low-rank Tensor Formats (Q5146611) (← links)
- Tensor Train Construction From Tensor Actions, With Application to Compression of Large High Order Derivative Tensors (Q5146679) (← links)
- Tensor Bi-CR Methods for Solutions of High Order Tensor Equation Accompanied by Einstein Product (Q5864760) (← links)
- Randomized Algorithms for Rounding in the Tensor-Train Format (Q5886850) (← links)
- Generative modeling via tensor train sketching (Q6051158) (← links)
- Randomized algorithms for the computation of multilinear rank-\((\mu_1,\mu_2,\mu_3)\) approximations (Q6064026) (← links)
- Streaming Tensor Train Approximation (Q6074548) (← links)
- Parallel Algorithms for Computing the Tensor-Train Decomposition (Q6097870) (← links)
- Practical sketching algorithms for low-rank Tucker approximation of large tensors (Q6101551) (← links)
- RA-HOOI: rank-adaptive higher-order orthogonal iteration for the fixed-accuracy low multilinear-rank approximation of tensors (Q6549553) (← links)
- Randomized tensor wheel decomposition (Q6551213) (← links)
- Riemannian preconditioned coordinate descent for low multilinear rank approximation (Q6561638) (← links)
- SVD-based algorithms for fully-connected tensor network decomposition (Q6563146) (← links)
- An L-DEIM induced high order tensor interpolatory decomposition (Q6591530) (← links)
- Sketch-based multiplicative updating algorithms for symmetric nonnegative tensor factorizations with applications to face image clustering (Q6593833) (← links)
- Two-sided randomized algorithms for approximate \(K\)-term t-SVD (Q6595465) (← links)
- A fast algorithm for rank-\((L, M, N)\) block term decomposition of multi-dimensional data (Q6608123) (← links)
- Denoising convolution algorithms and applications to SAR signal processing (Q6610135) (← links)
- A sequential multilinear Nyström algorithm for streaming low-rank approximation of tensors in Tucker format (Q6620442) (← links)
- A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format (Q6623671) (← links)
- SVD-based algorithms for tensor wheel decomposition (Q6624467) (← links)