Overview Metric Space Visualization is an experimental project that reimagines geometry as a dynamic, interactive metric space. Instead of static meshes, vertices are treated as elements of a ...

This Paper addresses the limitations of classical machine learning approaches primarily developed for data lying in Euclidean space. Modern machine learning increasingly encounters richly structured ...

CONSIDERING its subject, this bibliography V ' seems at first sight extraordinarily large; but there are several reasons why it is not so formidable as it looks. The actual list of titles occupies pp.

Abstract: The increasing importance of non-Euclidean geometry in machine learning and mechanical engineering is examined in this paper. Modern engineering systems and data structures frequently ...