Bin-Hua Zhao

Low-Rank Tucker Decomposition of Multi-Subject Complex-Valued fMRI Data

Tucker decomposition has shown advantages in simultaneously extracting group shared and individual features for studying brain function from multi-subject fMRI data. However, Tucker decomposition of complex-valued fMRI data is challenging, since the data are highly noisy, and imposing sparsity const…