This lecture covers the Fréchet embedding with distortion D, discussing odd integers, sampling probabilities, embedding dimensions, and distortion calculations. The instructor explains the concept of Frechet embedding and its applications.
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
The course aims to introduce the basic concepts and results on metric embeddings, or more precisely on approximate embeddings. This area has been under rapid development since the 90's and it has stro
