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Description
  • This work targets the problem of search efficiency vs. answer quality of approximate metric-based similarity search. We especially focus on techniques based on recursive Voronoi-like partitioning or, from another perspective, on pivot permutations. These techniques use sets of reference objects (anchors/pivots) to partition the metric space into cells of close data items. Instead of refining the search space by enlarging the anchor set of a single index, we propose to divide a large pivot set into several subsets and build multiple indexes with independent space partitioning; at query time, the overall search costs are also divided among the separate indexes. Our thorough experimental study on three different real datasets uncovers drawbacks of excessive increase of a single pivot set size—such partitioning refinement can be counterproductive beyond a certain number of pivots. Our approach overcomes the root causes of this limitation and increases the answer quality while preserving the search costs.
  • This work targets the problem of search efficiency vs. answer quality of approximate metric-based similarity search. We especially focus on techniques based on recursive Voronoi-like partitioning or, from another perspective, on pivot permutations. These techniques use sets of reference objects (anchors/pivots) to partition the metric space into cells of close data items. Instead of refining the search space by enlarging the anchor set of a single index, we propose to divide a large pivot set into several subsets and build multiple indexes with independent space partitioning; at query time, the overall search costs are also divided among the separate indexes. Our thorough experimental study on three different real datasets uncovers drawbacks of excessive increase of a single pivot set size—such partitioning refinement can be counterproductive beyond a certain number of pivots. Our approach overcomes the root causes of this limitation and increases the answer quality while preserving the search costs. (en)
Title
  • Performance Study of Independent Anchor Spaces for Similarity Searching
  • Performance Study of Independent Anchor Spaces for Similarity Searching (en)
skos:prefLabel
  • Performance Study of Independent Anchor Spaces for Similarity Searching
  • Performance Study of Independent Anchor Spaces for Similarity Searching (en)
skos:notation
  • RIV/00216224:14330/14:00073219!RIV15-MV0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GBP103/12/G084), P(VG20122015073)
http://linked.open...iv/cisloPeriodika
  • 11
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 36176
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/14:00073219
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • similarity search; metric space; multi-index; efficiency; robustness (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [AAB5BFC3302C]
http://linked.open...i/riv/nazevZdroje
  • The Computer Journal
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 57
http://linked.open...iv/tvurceVysledku
  • Novák, David
  • Zezula, Pavel
issn
  • 0010-4620
number of pages
http://bibframe.org/vocab/doi
  • 10.1093/comjnl/bxt114
http://localhost/t...ganizacniJednotka
  • 14330
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