Diffusion Methods in Manifold and Fibre Bundle Learning

Abstract: Diffusion methods help understand and denoise data sets; when there is additional structure (as is often the case), one can use (and get additional benefit from) a fiber bundle model.

optimization and controlstatistics theory

Audience: researchers in the topic

MAD+

Series comments: Description: Research seminar on data science

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