@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}
}