Breaking the Curse of Dimensionality, Or How to Use SVD in Many Dimensions
Author:
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Applied Mathematics,Computational Mathematics
Link
http://epubs.siam.org/doi/pdf/10.1137/090748330
Reference15 articles.
1. Efficient MATLAB Computations with Sparse and Factored Tensors
2. Tensor Decompositions and Applications
3. Numerical operator calculus in higher dimensions
4. Algorithms for Numerical Analysis in High Dimensions
5. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition
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