About: Texture Analysis via Data Mining     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • This paper deals with an idea of the use of data mining approach in texture analysis. A new method based on association rules is proposed. This approach extracts texture primitives from an image texture and describes mutual relationships between these primitives. Within this method, a technique for feature vector construction without a priori knowledge of textures different from the analyzed one is presented. The Fisher criterion was used to measure an ability of the proposed method for successful discrrimination of pairs of textures. This work provides also comparison of the proposed technique with a wide-used wavelet texture features.
  • This paper deals with an idea of the use of data mining approach in texture analysis. A new method based on association rules is proposed. This approach extracts texture primitives from an image texture and describes mutual relationships between these primitives. Within this method, a technique for feature vector construction without a priori knowledge of textures different from the analyzed one is presented. The Fisher criterion was used to measure an ability of the proposed method for successful discrrimination of pairs of textures. This work provides also comparison of the proposed technique with a wide-used wavelet texture features. (en)
Title
  • Texture Analysis via Data Mining
  • Texture Analysis via Data Mining (en)
skos:prefLabel
  • Texture Analysis via Data Mining
  • Texture Analysis via Data Mining (en)
skos:notation
  • RIV/00216305:26230/03:PU42646!RIV/2004/GA0/262304/N
http://linked.open.../vavai/riv/strany
  • 95-104
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/02/0507)
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
  • 630788
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/03:PU42646
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Association rules, Apriori algorithm, texture analysis, texture primitive, feature vector, Fisher criterion, inter-cluster separability. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3C8D04D256AE]
http://linked.open...v/mistoKonaniAkce
  • Canberra
http://linked.open...i/riv/mistoVydani
  • Sydney
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 2nd Australasian Data Mining Workshop
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Heckel, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • University of Technology Sydney
https://schema.org/isbn
  • 0-9751724-1-7
http://localhost/t...ganizacniJednotka
  • 26230
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 9 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software