2 papers
stat.ML2017
Persistent homology machine learning for fingerprint classification
Noah Giansiracusa, Robert Giansiracusa, Chul Moon
The fingerprint classification problem is to sort fingerprints into pre-determined groups, such as arch, loop, and whorl. It was asserted in the literature that minutiae points, wh…
stat.ME2017
Persistence Terrace for Topological Inference of Point Cloud Data
Chul Moon, Noah Giansiracusa, Nicole A. Lazar
Topological data analysis (TDA) is a rapidly developing collection of methods for studying the shape of point cloud and other data types. One popular approach, designed to be robus…