License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.7.5.1
URN: urn:nbn:de:0030-drops-82788
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/8278/
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Dietzfelbinger, Martin ; Mitzenmacher, Michael ; Pagh, Rasmus ; Woodruff, David P. ; Aumüller, Martin
Weitere Beteiligte (Hrsg. etc.): Martin Dietzfelbinger and Michael Mitzenmacher and Rasmus Pagh and David P. Woodruff, and Martin Aumüller

Theory and Applications of Hashing (Dagstuhl Seminar 17181)

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dagrep_v007_i005_p001_17181.pdf (3 MB)

Abstract

This report documents the program and the topics discussed of the 4-day
Dagstuhl Seminar 17181 "Theory and Applications of Hashing",
which took place May 1-5, 2017. Four long and eighteen short talks
covered a wide and diverse range of topics within the theme of the workshop.
The program left sufficient space for informal discussions among the 40 participants.

BibTeX - Entry

@Article{dietzfelbinger_et_al:DR:2017:8278,
  author =	{Martin Dietzfelbinger and Michael Mitzenmacher and Rasmus Pagh and David P. Woodruff and Martin Aum{\"u}ller},
  title =	{{Theory and Applications of Hashing (Dagstuhl Seminar 17181)}},
  pages =	{1--21},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2017},
  volume =	{7},
  number =	{5},
  editor =	{Martin Dietzfelbinger and Michael Mitzenmacher and Rasmus Pagh and David P. Woodruff, and Martin Aum{\"u}ller},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/8278},
  URN =		{urn:nbn:de:0030-drops-82788},
  doi =		{10.4230/DagRep.7.5.1},
  annote =	{Keywords: connections to complexity theory, data streaming applications, hash function construction and analysis, hashing primitives, }
}

Keywords: connections to complexity theory, data streaming applications, hash function construction and analysis, hashing primitives,
Freie Schlagwörter (englisch): information retrieval applications, locality-sensitive hashing, machine learning applications
Collection: Dagstuhl Reports, Volume 7, Issue 5
Issue Date: 2017
Date of publication: 19.12.2017

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