most citedTowards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2022★ 2 cited

Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration

Yichun Qiu, Weijun Sun, Guoxu Zhou +1

Efficient and accurate low-rank approximation (LRA) methods are of great significance for large-scale data analysis. Randomized tensor decompositions have emerged as powerful tools…