Explore the detection of non-trivial cycles in point clouds and time series data on manifolds in this 25-minute conference talk by Ka Man (Ambrose) Yim from Cardiff University. Gain insights into advanced techniques for analyzing complex data structures as part of the Fourth Symposium on Machine Learning and Dynamical Systems at the Fields Institute. Delve into the intersection of topology, data science, and dynamical systems to uncover hidden patterns and structures within high-dimensional datasets.
Detecting Non-Trivial Cycles of Point Clouds and Time Series Data on Manifolds
Overview
Syllabus
Detecting non-trivial cycles of point clouds and time series data on manifolds
Taught by
Fields Institute
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