License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.SoCG.2016.72
URN: urn:nbn:de:0030-drops-59643
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/5964/
Go to the corresponding LIPIcs Volume Portal

Wright, Matthew L.

Introduction to Persistent Homology

pdf-format:
LIPIcs-SoCG-2016-72.pdf (0.8 MB)

Abstract

This video presents an introduction to persistent homology, aimed at a viewer who has mathematical aptitude but not necessarily knowledge of algebraic topology. Persistent homology is an algebraic method of discerning the topological features of complex data, which in recent years has found applications in fields such as image processing and biological systems. Using smooth animations, the video conveys the intuition behind persistent homology, while giving a taste of its key properties, applications, and mathematical underpinnings.

BibTeX - Entry

@InProceedings{wright:LIPIcs:2016:5964,
  author =	{Matthew L. Wright},
  title =	{{Introduction to Persistent Homology}},
  booktitle =	{32nd International Symposium on Computational Geometry (SoCG 2016)},
  pages =	{72:1--72:3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-009-5},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{51},
  editor =	{S{\'a}ndor Fekete and Anna Lubiw},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/5964},
  URN =		{urn:nbn:de:0030-drops-59643},
  doi =		{10.4230/LIPIcs.SoCG.2016.72},
  annote =	{Keywords: Persistent Homology, Topological Data Analysi}
}

Keywords: Persistent Homology, Topological Data Analysi
Collection: 32nd International Symposium on Computational Geometry (SoCG 2016)
Issue Date: 2016
Date of publication: 10.06.2016

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI