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Conferences and Meetings on Geometry and Topology

Title
Geometry and Learning from Data in 3D and Beyond
Date
2019-03-11 00:00:00 ~2019-06-14
Place
Institute for Pure and Applied Mathematics
URL
http://www.ipam.ucla.edu/gl2019
Abstract
Fast acquisition and routine use of 3D data due to the advance of modern technology and computer power makes 3D description of the real world imminent and practical in many applications such as 3D modeling, GL2019 Imagevirtual reality, 3D camera, 3D printing and prototyping, etc. It is increasingly important and urgent for efficient processing, analysis, and intelligent use of a large variety of 3D data. The goals of this program are to (1) further advance mathematical and computational techniques for 3D modeling and shape analysis, (2) design effective problem specific approaches combining geometry and machine learning, i.e., learning geometry from geometry, (3) generalize our understandings and techniques for shape analysis to geometric data analysis in higher dimensions.
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