Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detection

no code implementations • NeurIPS Workshop TDA_and_Beyond 2020 • Eric Bunch, Jeffery Kline, Daniel Dickinson, Suhaas Bhat, Glenn Fung

Metric space magnitude, an active field of research in algebraic topology, is a scalar quantity that summarizes the effective number of distinct points that live in a general metric space.

BIG-bench Machine Learning Boundary Detection +1

Practical applications of metric space magnitude and weighting vectors

no code implementations • 24 Jun 2020 • Eric Bunch, Daniel Dickinson, Jeffery Kline, Glenn Fung

In a more general setting, the magnitude of a metric space is a real number that aims to quantify the effective number of distinct points in the space.

Active Learning Boundary Detection +1