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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)
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Title
| - Performance Study of Independent Anchor Spaces for Similarity Searching
- Performance Study of Independent Anchor Spaces for Similarity Searching (en)
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skos:prefLabel
| - Performance Study of Independent Anchor Spaces for Similarity Searching
- Performance Study of Independent Anchor Spaces for Similarity Searching (en)
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skos:notation
| - RIV/00216224:14330/14:00073219!RIV15-MV0-14330___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(GBP103/12/G084), P(VG20122015073)
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216224:14330/14:00073219
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - similarity search; metric space; multi-index; efficiency; robustness (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
| - GB - Spojené království Velké Británie a Severního Irska
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Novák, David
- Zezula, Pavel
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issn
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number of pages
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http://bibframe.org/vocab/doi
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http://localhost/t...ganizacniJednotka
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