most citedGO-LDA: Generalised Optimal Linear Discriminant Analysis

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing math.NAShow all

1 paper · 1 filter

math.NA2023

Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors

Wandi Dong, Gaohang Yu, Liqun Qi +1

Low-rank approximation of tensors has been widely used in high-dimensional data analysis. It usually involves singular value decomposition (SVD) of large-scale matrices with high c…