BibTeX Export for Probabilistic Smallest Enclosing Ball in High Dimensions via Subgradient Sampling

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@InProceedings{krivosija_et_al:LIPIcs.SoCG.2019.47,
  author =	{Krivo\v{s}ija, Amer and Munteanu, Alexander},
  title =	{{Probabilistic Smallest Enclosing Ball in High Dimensions via Subgradient Sampling}},
  booktitle =	{35th International Symposium on Computational Geometry (SoCG 2019)},
  pages =	{47:1--47:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-104-7},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{129},
  editor =	{Barequet, Gill and Wang, Yusu},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2019.47},
  URN =		{urn:nbn:de:0030-drops-104515},
  doi =		{10.4230/LIPIcs.SoCG.2019.47},
  annote =	{Keywords: geometric median, convex optimization, smallest enclosing ball, probabilistic data, support vector data description, kernel methods}
}

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