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Discrepancy-sensitive dynamic fractional cascading, dominated maxima searching, and 2-d nearest neighbors in any minkowski metric

  • Mikhail J. Atallah
  • , Marina Blanton
  • , Michael T. Goodrich
  • , Stanislas Polu
  • Purdue University
  • University of California at Irvine
  • École Polytechnique

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper studies a discrepancy-sensitive approach to dynamic fractional cascading. We provide an efficient data structure for dominated maxima searching in a dynamic set of points in the plane, which in turn leads to an efficient dynamic data structure that can answer queries for nearest neighbors using any Minkowski metric.

Original languageEnglish
Title of host publicationAlgorithms and Data Structures - 10th International Workshop, WADS 2007, Proceedings
PublisherSpringer Verlag
Pages114-126
Number of pages13
ISBN (Print)3540739483, 9783540739487
DOIs
StatePublished - 2007
Event10th International Workshop on Algorithms and Data Structures, WADS 2007 - Halifax, Canada
Duration: Aug 15 2007Aug 17 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4619 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Workshop on Algorithms and Data Structures, WADS 2007
Country/TerritoryCanada
CityHalifax
Period08/15/0708/17/07

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