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  • The efficient similarity search in metric spaces is usually based on several low-level partitioning principles, which allow filtering of non-relevant objects during the search. In this paper, we propose a parameterizable partitioning method based on the generalized hyperplane partitioning (GHP), which utilizes a parameter to adjust ``borders'' of the partitions. The new partitioning method could be employed in the existing metric indexes that are based on GHP (e.g., GNAT, M-index). Moreover, we could employ the parameterizable GHP in the role of a new multi-example query type, defined as a partition determined by an available query object and several ``anti-example'' objects. We believe that both applications of parameterizable GHP can soon take place in metric access methods and new query models.
  • The efficient similarity search in metric spaces is usually based on several low-level partitioning principles, which allow filtering of non-relevant objects during the search. In this paper, we propose a parameterizable partitioning method based on the generalized hyperplane partitioning (GHP), which utilizes a parameter to adjust ``borders'' of the partitions. The new partitioning method could be employed in the existing metric indexes that are based on GHP (e.g., GNAT, M-index). Moreover, we could employ the parameterizable GHP in the role of a new multi-example query type, defined as a partition determined by an available query object and several ``anti-example'' objects. We believe that both applications of parameterizable GHP can soon take place in metric access methods and new query models. (en)
Title
  • On Applications of Parameterized Hyperplane Partitioning
  • On Applications of Parameterized Hyperplane Partitioning (en)
skos:prefLabel
  • On Applications of Parameterized Hyperplane Partitioning
  • On Applications of Parameterized Hyperplane Partitioning (en)
skos:notation
  • RIV/00216208:11320/10:10038303!RIV11-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/09/0683), S, Z(MSM0021620838)
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
  • 276653
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/10:10038303
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Partitioning; Hyperplane; Parameterized; Applications (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9B5547B628BD]
http://linked.open...v/mistoKonaniAkce
  • Istanbul, Turkey
http://linked.open...i/riv/mistoVydani
  • Istanbul, Turkey
http://linked.open...i/riv/nazevZdroje
  • Third International Conference on Similarity Search and Applications
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...iv/tvurceVysledku
  • Lokoč, Jakub
  • Skopal, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • ACM
https://schema.org/isbn
  • 978-1-4503-0420-7
http://localhost/t...ganizacniJednotka
  • 11320
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