Applied Linear Algebra: Tensor Decompositions
Автор: Nathan Kutz
Загружено: 2020-12-02
Просмотров: 19026
WEB: https://faculty.washington.edu/kutz/a...
This lecture focuses on the generalization of matrix decompositions to higher-order data arrays, giving us a view of tensor decompositions and how they can also produce low-rank decompositions without vectorization of data.
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