This HTML5 document contains 46 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n7http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n13http://purl.org/net/nknouf/ns/bibtex#
n8http://localhost/temp/predkladatel/
n19http://linked.opendata.cz/resource/domain/vavai/projekt/
n14http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n21http://linked.opendata.cz/ontology/domain/vavai/
n16https://schema.org/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n4http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n12http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216305%3A26230%2F03%3APU42646%21RIV%2F2004%2FGA0%2F262304%2FN/
n5http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n20http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n9http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F03%3APU42646%21RIV%2F2004%2FGA0%2F262304%2FN
rdf:type
n21:Vysledek skos:Concept
dcterms: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.
dcterms:title
Texture Analysis via Data Mining Texture Analysis via Data Mining
skos:prefLabel
Texture Analysis via Data Mining Texture Analysis via Data Mining
skos:notation
RIV/00216305:26230/03:PU42646!RIV/2004/GA0/262304/N
n4:strany
95-104
n4:aktivita
n15:P
n4:aktivity
P(GA102/02/0507)
n4:dodaniDat
n9:2004
n4:domaciTvurceVysledku
n14:9016791
n4:druhVysledku
n17:D
n4:duvernostUdaju
n10:S
n4:entitaPredkladatele
n12:predkladatel
n4:idSjednocenehoVysledku
630788
n4:idVysledku
RIV/00216305:26230/03:PU42646
n4:jazykVysledku
n20:eng
n4:klicovaSlova
Association rules, Apriori algorithm, texture analysis, texture primitive, feature vector, Fisher criterion, inter-cluster separability.
n4:klicoveSlovo
n5:texture%20primitive n5:feature%20vector n5:Apriori%20algorithm n5:Association%20rules n5:texture%20analysis n5:Fisher%20criterion n5:inter-cluster%20separability.
n4:kontrolniKodProRIV
[3C8D04D256AE]
n4:mistoKonaniAkce
Canberra
n4:mistoVydani
Sydney
n4:nazevZdroje
Proceedings of the 2nd Australasian Data Mining Workshop
n4:obor
n18:JC
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
1
n4:pocetUcastnikuAkce
0
n4:pocetZahranicnichUcastnikuAkce
0
n4:projekt
n19:GA102%2F02%2F0507
n4:rokUplatneniVysledku
n9:2003
n4:tvurceVysledku
Heckel, Martin
n4:typAkce
n7:WRD
n4:zahajeniAkce
2003-12-08+01:00
s:numberOfPages
10
n13:hasPublisher
University of Technology Sydney
n16:isbn
0-9751724-1-7
n8:organizacniJednotka
26230