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PRODID:-//University of Utah Math Department//Geometric methods for graph partitioning//EN
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X-WR-CALNAME:Geometric methods for graph partitioning
X-WR-CALDESC:Geometric methods for graph partitioning at University of Utah Mathematics Department
X-WR-TIMEZONE:America/Denver
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UID:20140206T160000-braxton-osting@math.utah.edu
DTSTART;TZID=America/Denver:20140206T160000
DTEND;TZID=America/Denver:20140206T170000
DTSTAMP:20260922T150858Z
SUMMARY:Geometric methods for graph partitioning
DESCRIPTION:Speaker: Braxton Osting\, Univeristy of California, Los Angeles\n\nSeveral geometric methods for graph partitioning have been introduced in the past few years, with wide applications in clustering, community detection, and image analysis. These methods, which I'll review, are built on graph-based analogues of total variation, motion by mean curvature, the …

LOCATION:LCB 219

URL:https://www.math.utah.edu/research/colloquia/2014-02-06-braxton-osting/
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