ERC Workshop on Optimal Transportation and Applications
timetable:
Tue 28 Oct, 12:10 - 13:00, Aula Dini
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The shape space defined by the Gromov- Wasserstein distance
speaker: Facundo Mémoli ( Ohio State University)abstract: In a number of applications, datasets or shapes can be modeled as metric measure spaces. The Gromov-Wasserstein distance –a variant of the Gromov-Hausdorff distance based on ideas from mass transport– provides an intrinsic metric on the collection of all mm-spaces. I will review its construction, main properties, lower bounds, and computation.
timetable:
Tue 28 Oct, 12:10 - 13:00, Aula Dini
<< Go back