BibTeX Export for A Faster Algorithm for Finding Closest Pairs in Hamming Metric

Copy to Clipboard Download

@InProceedings{esser_et_al:LIPIcs.FSTTCS.2021.20,
  author =	{Esser, Andre and K\"{u}bler, Robert and Zweydinger, Floyd},
  title =	{{A Faster Algorithm for Finding Closest Pairs in Hamming Metric}},
  booktitle =	{41st IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2021)},
  pages =	{20:1--20:21},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-215-0},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{213},
  editor =	{Boja\'{n}czyk, Miko{\l}aj and Chekuri, Chandra},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2021.20},
  URN =		{urn:nbn:de:0030-drops-155317},
  doi =		{10.4230/LIPIcs.FSTTCS.2021.20},
  annote =	{Keywords: closest pair problem, LSH, nearest neighbor}
}

The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.

Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode