Computational metric geometrySpeaker: Michael Bronstein – Lugano, Switzerland
Topic(s): Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing
AbstractMany 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 LectureNumber of Slides: 55
Duration: 55 minutes
Languages Available: English, Hebrew, Italian, Russian
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