分野別セミナー

Computational Topology provides tools to study data based on its topology. By creating a topological space on top of the data, Topological Data Analysis allows the study of the evolution of homology through a filtered simplicial complex, summarizing the data by that topological invariant in persistence diagrams. To use persistence diagrams in Machine Learning applications, a vector representation is needed. We will see some of them and the recent web app "BRAVA". Finally, I will show an application of Topological Data Analysis for emotion recognition.