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20112020
most citedA low-rank based estimation-testing procedure for matrix-covariate regression

5 citations · 7 across the 6 of their papers we have counts for

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math.ST2011★ 1 cited

On Multilinear Principal Component Analysis of Order-Two Tensors

Hung Hung, Pei-Shien Wu, I-Ping Tu +1

Principal Component Analysis (PCA) is a commonly used tool for dimension reduction in analyzing high dimensional data; Multilinear Principal Component Analysis (MPCA) has the poten…