activity
20202022
most citedReviews: Topological Distances and Losses for Brain Networks

3 citations · 4 across the 2 of their papers we have counts for

collaborators
Showing stat.APShow all

1 paper · 1 filter

stat.AP2022★ 1 cited

Data Analysis using Riemannian Geometry and Applications to Chemical Engineering

Alexander Smith, Benjamin Laubach, Ivan Castillo +1

We explore the use of tools from Riemannian geometry for the analysis of symmetric positive definite matrices (SPD). An SPD matrix is a versatile data representation that is common…