Conference Agenda
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Agenda Overview |
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Plenary Lecture 2
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Statistical Optimal Transport in Action: From Theory to Applications University of Göttingen, Germany While optimal transport has been a long standing mathematical, physical and economic concept for more than two centuries, recent developments in statistics, optimization and machine learning suggests its use as a tool for modern data analysis. Extensions, such as Gromov-Wasserstein transport respect the inner metric structure of data sets and have been proven to be useful for image registration and object matching. In this talk we introduce some basic statistical methods related to optimal transport and illustrate these with examples from cell biology and biometric identification. | ||
