17 citations · 19 across the 3 of their papers we have counts for
3 papers · 1 filter
Transport-Based Pattern Theory: A Signal Transformation Approach
Liam Cattell, Gustavo K. Rohde
In many scientific fields imaging is used to relate a certain physical quantity to other dependent variables. Therefore, images can be considered as a map from a real-world coordin…
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
Gaussian mixture models (GMM) are powerful parametric tools with many applications in machine learning and computer vision. Expectation maximization (EM) is the most popular algori…
Discovery and visualization of structural biomarkers from MRI using transport-based morphometry
Shinjini Kundu, Soheil Kolouri, Kirk I Erickson +3
Disease in the brain is often associated with subtle, spatially diffuse, or complex tissue changes that may lie beneath the level of gross visual inspection, even on magnetic reson…