Topics in Geometric Algorithms: Non-Euclidean Methods in Machine Learning

Contents of this course vary with each offering. Past offerings have included geometric matching, surface reconstruction, collision detection, computational topology, differential geometry for computer scientists, computational symmetry and regularity, data-driven shape analysis, and non-Euclidean methods in machine learning.