@InProceedings{ding_et_al:LIPIcs.SoCG.2016.34,
  author =	{Ding, Hu and Gao, Jing and Xu, Jinhui},
  title =	{{Finding Global Optimum for Truth Discovery: Entropy Based Geometric Variance}},
  booktitle =	{32nd International Symposium on Computational Geometry (SoCG 2016)},
  pages =	{34:1--34:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-009-5},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{51},
  editor =	{Fekete, S\'{a}ndor and Lubiw, Anna},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2016.34},
  URN =		{urn:nbn:de:0030-drops-59264},
  doi =		{10.4230/LIPIcs.SoCG.2016.34},
  annote =	{Keywords: geometric optimization, data mining, high dimension, entropy}
}