Computational metric geometry

Speaker:  Michael Bronstein – Lugano, Switzerland
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing

Abstract

Many important problems in computer vision and pattern recognition revolve around the notion of "similarity" or "distance". Metric geometry is a branch of theoretical mathematics formalizing and studying such notions, and is a natural common denominator allowing to address many important problems. In this talk, I will introduce basic concepts and algorithms in metric geometry, and showcase a few problems in pattern recognition and geometric shape analysis that can be addressed from the metric perspective. 

About this Lecture

Number of Slides:  55
Duration:  55 minutes
Languages Available:  English, Hebrew, Italian, Russian
Last Updated: 

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