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Title: Topological data analysis for quantifying plant morphology Abstract: Persistent homology is a powerful tool from topological ... Barcelona Mathematics and Machine Learning (b=M2L) Colloquium Series The Barcelona Mathematics ... Abstract- The interleaving distance is a fundamental metric in Topological Data Analysis (TDA), with applications ranging from ... Title: Featurization of persistence diagrams using template functions for machine learning tasks Abstract: The persistence diagram ... Abstract: Data consisting of a graph with a function to $\mathbb{R}^d$ arise in many data applications, encompassing structures ... The Interleaving Distance for Graphical Signatures Elizabeth Munch
Title: The directional transform, or how to look at your data from every direction at once Abstract: The field of topological data ... Combining network analysis and persistent homology for classifying behavior of time series Persistent homology, the flagship ...
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Last Updated: June 8, 2026
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