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Entropic quadtrees and mining mars craters

  • University of Massachusetts Boston

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces entropic quadtrees, which are structures derived from quadtrees by allowing nodes to split only when nodes point to sufficiently diverse sets of objects. Diversity is evaluated using entropy attached to the histograms of the values of features for sets designated by the nodes. As an application, we used entropic quadtrees to locate craters on the surface of Mars, represented by circles in digital images.

Original languageEnglish
Title of host publicationAdvances in Data Mining
Subtitle of host publicationApplications and Theoretical Aspects - 10th Industrial Conference, ICDM 2010, Proceedings
Pages210-221
Number of pages12
DOIs
StatePublished - 2010
Event10th Industrial Conference on Advances in Data Mining, ICDM 2010 - Berlin, Germany
Duration: Jul 12 2010Jul 14 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6171 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th Industrial Conference on Advances in Data Mining, ICDM 2010
Country/TerritoryGermany
CityBerlin
Period7/12/107/14/10

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

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