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20232026
most citedMode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model

1 citations · 1 across the 8 of their papers we have counts for

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stat.AP2023

Cocaine Use Prediction with Tensor-based Machine Learning on Multimodal MRI Connectome Data

Anru R. Zhang, Ryan P. Bell, Chen An +5

This paper considers the use of machine learning algorithms for predicting cocaine use based on magnetic resonance imaging (MRI) connectomic data. The study utilized functional MRI…

stat.ME2023★ 1 cited

Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model

Runshi Tang, Ming Yuan, Anru R. Zhang

This paper introduces a novel framework called Mode-wise Principal Subspace Pursuit (MOP-UP) to extract hidden variations in both the row and column dimensions for matrix data. To…