2 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ML2024★ 1 cited
L1-Regularized ICA: A Novel Method for Analysis of Task-related fMRI Data
Yusuke Endo, Koujin Takeda
We propose a new method of independent component analysis (ICA) in order to extract appropriate features from high-dimensional data. In general, matrix factorization methods includ…
q-bio.NC2023★ 2 cited
Performance evaluation of matrix factorization for fMRI data
Yusuke Endo, Koujin Takeda
In the study of the brain, there is a hypothesis that sparse coding is realized in information representation of external stimuli, which is experimentally confirmed for visual stim…