Pages that link to "Item:Q1728088"
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The following pages link to Higher-order principal component analysis for the approximation of tensors in tree-based low-rank formats (Q1728088):
Displaying 18 items.
- Separation of variables for function generated high-order tensors (Q474980) (← links)
- Black box approximation of tensors in hierarchical Tucker format (Q1931758) (← links)
- A continuous analogue of the tensor-train decomposition (Q1987792) (← links)
- Tree-based tensor formats (Q2059130) (← links)
- Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions (Q2093707) (← links)
- Tensor rank bounds for point singularities in \(\mathbb{R}^3\) (Q2135612) (← links)
- High-probability bounds for the reconstruction error of PCA (Q2307416) (← links)
- Empirical interpolation decomposition (Q2334754) (← links)
- Spectral tensor-train decomposition (Q2818241) (← links)
- (Q3514407) (← links)
- (Q4574565) (← links)
- Functional Tucker Approximation Using Chebyshev Interpolation (Q4997399) (← links)
- Quantized CP approximation and sparse tensor interpolation of function‐generated data (Q5206497) (← links)
- Hierarchical Kronecker tensor-product approximations (Q5694399) (← links)
- A literature survey of matrix methods for data science (Q6068265) (← links)
- Approximation theory of tree tensor networks: tensorized univariate functions (Q6076973) (← links)
- Active Learning of Tree Tensor Networks using Optimal Least Squares (Q6177928) (← links)
- Tree adaptive approximation in the hierarchical tensor format (Q6486738) (← links)
