1 citations · 1 across the 4 of their papers we have counts for
4 papers
Digital Euler Characteristic Transform
Henry Kirveslahti, Xiaohan Wang
The Euler Characteristic Transform (ECT) of Turner et al. provides a way to statistically analyze non-diffeomorphic shapes without relying on landmarks. In applications, this trans…
Statistical Inference on Grayscale Images via the Euler-Radon Transform
Kun Meng, Mattie Ji, Jinyu Wang +4
Tools from topological data analysis have been widely used to represent binary images in many scientific applications. Methods that aim to represent grayscale images (i.e., where p…
Early Warning Signals of Social Instabilities in Twitter Data
Vahid Shamsaddini, Henry Kirveslahti, Raphael Reinauer +3
The goal of this project is to create and study novel techniques to identify early warning signals for socially disruptive events, like riots, wars, or revolutions using only publi…
Representing Fields without Correspondences: the Lifted Euler Characteristic Transform
Henry Kirveslahti, Sayan Mukherjee
Topological transforms have been very useful in statistical analysis of shapes or surfaces without restrictions that the shapes are diffeomorphic and requiring the estimation of co…