BibTeX Export for Labeled Nearest Neighbor Search and Metric Spanners via Locality Sensitive Orderings

Copy to Clipboard Download

@InProceedings{filtser:LIPIcs.SoCG.2023.33,
  author =	{Filtser, Arnold},
  title =	{{Labeled Nearest Neighbor Search and Metric Spanners via Locality Sensitive Orderings}},
  booktitle =	{39th International Symposium on Computational Geometry (SoCG 2023)},
  pages =	{33:1--33:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-273-0},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{258},
  editor =	{Chambers, Erin W. and Gudmundsson, Joachim},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2023.33},
  URN =		{urn:nbn:de:0030-drops-178839},
  doi =		{10.4230/LIPIcs.SoCG.2023.33},
  annote =	{Keywords: Locality sensitive ordering, nearest neighbor search, high dimensional Euclidean space, doubling dimension, planar and minor free graphs, path reporting low hop spanner, fault tolerant spanner, reliable spanner, light spanner}
}

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