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everybody welcome to another aatrn talk this week we have uh yuichike from the university of tokyo who will be talking to us about ripsnet fast and robust estimation of persistent homology for point clouds thank you yuichi thank you for the introduction uh and of course iamp;#39;d like to thank these organizers for this opportunity so today iamp;#39;d like to talk about ips net which is a fast and robust estimation of persistent homology for point cloud uh this is a joint work with these people with in their collaborative research with india and physicists okay so this is the the outline of my talk first i will talk about passive homology there uh i will i consider how to extract the the topology of data as what is called positive diagrams we we are especially interested in point cloud data so uh i will explain some filtrations associated with point clouds and i also discuss some vectorization methods of passes and diagrams in the second part which is main part of this talk uh i will