Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 2 Applications and Future Perspectives by Namgil Lee, Ivan Oseledets, Andrzej Cichocki

Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 2 Applications and Future Perspectives

Foundations and Trends(r) in Machine Learning

Namgil Lee, Ivan Oseledets, Andrzej Cichocki

262 pages • missing pub info (editions)

nonfiction computer science science informative medium-paced
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This monograph builds on Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions by discussing tensor network models for super-compressed higher-order representation of data/parameters and c...

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