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Description
  • Many current applications need to organize data with respect to mutual similarity between data objects (for instance biometric systems). A typical general strategy to retrieve the most similar objects to a given example is to access and then refine a candidate set of objects; the overall search costs (and search time) then typically correlate with the candidate set size. The PPP-Codes index provides a generic approach that combines several independent indexes by aggregating their candidate sets in such a way that the resulting candidate set can be one or two orders of magnitude smaller (while keeping the answer quality). This achievement comes at the expense of higher computational costs of the ranking algorithm but our experiments on various datasets indicate that the overall gain can be significant, especially for data types with large objects or expensive similarity function such as biometric systems.
  • Many current applications need to organize data with respect to mutual similarity between data objects (for instance biometric systems). A typical general strategy to retrieve the most similar objects to a given example is to access and then refine a candidate set of objects; the overall search costs (and search time) then typically correlate with the candidate set size. The PPP-Codes index provides a generic approach that combines several independent indexes by aggregating their candidate sets in such a way that the resulting candidate set can be one or two orders of magnitude smaller (while keeping the answer quality). This achievement comes at the expense of higher computational costs of the ranking algorithm but our experiments on various datasets indicate that the overall gain can be significant, especially for data types with large objects or expensive similarity function such as biometric systems. (en)
Title
  • PPP-Codes: Similarity Search Index
  • PPP-Codes: Similarity Search Index (en)
skos:prefLabel
  • PPP-Codes: Similarity Search Index
  • PPP-Codes: Similarity Search Index (en)
skos:notation
  • RIV/00216224:14330/13:00065750!RIV14-MV0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(VG20122015073)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...onomickeParametry
  • Software je využíván zejména vědeckou komunitou. Umožňuje vlastníkovi a jiným uživatelům vybudovat index pro podobnostní vyhledávání v různorodých datech na základě podobnosti. Index je navržen tak, aby silně redukoval kandidátní množinu vracených objektů a proto je velmi efektivní zejména pro datové typy s většími objekty nebo dražší podobnostní funkcí.
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 98151
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/13:00065750
http://linked.open...terniIdentifikace
  • PPP-Codes
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • PPP-Codes; similarity search; metric space; index (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D71F1ACD2384]
http://linked.open.../licencniPoplatek
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...echnickeParametry
  • Pro využití softwaru je nutné postupovat podle licence GNU GPL. Odpovědná osoba pro jednání: David Novák, Fakulta informatiky, Masarykova univerzita, Botanická 68a, Brno, 602 00, david.novak@fi.muni.cz, tel. 549495062
http://linked.open...iv/tvurceVysledku
  • Novák, David
http://linked.open...avai/riv/vlastnik
http://linked.open...itiJinymSubjektem
http://localhost/t...ganizacniJednotka
  • 14330
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