Pages that link to "Item:Q977471"

The following pages link to Generalizing the column-row matrix decomposition to multi-way arrays (Q977471):

Displaying 26 items.

• A note on tensor chain approximation (Q525265) (← links)
• Canonical row-column-exchangeable arrays (Q799303) (← links)
• The row/column pivoting strategy on multicomputers (Q1319522) (← links)
• Cross: efficient low-rank tensor completion (Q1731066) (← links)
• Block rearranging elements within matrix columns to minimize the variability of the row sums (Q1743640) (← links)
• Fast randomized matrix and tensor interpolative decomposition using countsketch (Q2025436) (← links)
• Hybrid CUR-type decomposition of tensors in the Tucker format (Q2114105) (← links)
• Perturbations of the \textsc{Tcur} decomposition for tensor valued data in the Tucker format (Q2159450) (← links)
• Randomized algorithms for the low multilinear rank approximations of tensors (Q2226319) (← links)
• Perspectives on CUR decompositions (Q2300772) (← links)
• Randomized algorithms for the approximations of Tucker and the tensor train decompositions (Q2631991) (← links)
• Generalized pseudoskeleton decompositions (Q2689153) (← links)
• HOID: higher order interpolatory decomposition for tensors based on Tucker representation (Q2818274) (← links)
• Literature survey on low rank approximation of matrices (Q4603753) (← links)
• Exploiting Efficient Representations in Large-Scale Tensor Decompositions (Q4631411) (← links)
• Petz recovery versus matrix reconstruction (Q4639371) (← links)
• Functional Tucker Approximation Using Chebyshev Interpolation (Q4997399) (← links)
• ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching (Q5027035) (← links)
• The Computation of Low Multilinear Rank Approximations of Tensors via Power Scheme and Random Projection (Q5112244) (← links)
• (Q5159482) (← links)
• Fast Randomized Algorithms for t-Product Based Tensor Operations and Decompositions with Applications to Imaging Data (Q5236621) (← links)
• Fast Multidimensional Convolution in Low-Rank Tensor Formats via Cross Approximation (Q5254416) (← links)
• Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases (Q5327163) (← links)
• A Riemannian Trust Region Method for the Canonical Tensor Rank Approximation Problem (Q5376452) (← links)
• Robust tensor CUR decompositions: rapid low-Tucker-rank tensor recovery with sparse corruptions (Q6541912) (← links)
• A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format (Q6623671) (← links)