Introduces Off-log metric for correlation matrices and Grassmannian subspace distances to improve sensitivity and classification in fMRI brain network analysis across clinical and ageing datasets.
and Pennec, X.O(n)-invariant Riemannian metrics on SPD matrices.Linear Algebra Appl.661,163–201 (2023)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces
Introduces Off-log metric for correlation matrices and Grassmannian subspace distances to improve sensitivity and classification in fMRI brain network analysis across clinical and ageing datasets.