Foundations and Trends® in Machine Learning· 2016Q1· Review
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions
- 437citations
- Q1SCImago
- 2016year
Short summary
This paper introduces tensor networks as a novel approach to overcome the 'curse of dimensionality' in analyzing large, complex datasets by enabling efficient dimensionality reduction and optimization.
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Computational MathematicsMathematics