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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/iwdw/XuanSHFZCG06>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Cong_Huang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Dongdong_Fu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Guorong_Xuan>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jianjiong_Gao>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Peiqi_Chai>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Xiuming_Zhu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yun_Q._Shi_0001>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2F11922841%5F5>
foaf:homepage <https://doi.org/10.1007/11922841_5>
dc:identifier DBLP conf/iwdw/XuanSHFZCG06 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2F11922841%5F5 (xsd:string)
dcterms:issued 2006 (xsd:gYear)
rdfs:label Steganalysis Using High-Dimensional Features Derived from Co-occurrence Matrix and Class-Wise Non-Principal Components Analysis (CNPCA). (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Cong_Huang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Dongdong_Fu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Guorong_Xuan>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jianjiong_Gao>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Peiqi_Chai>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Xiuming_Zhu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yun_Q._Shi_0001>
swrc:pages 49-60 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/iwdw/2006>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/iwdw/XuanSHFZCG06/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/iwdw/XuanSHFZCG06>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/iwdw/iwdw2006.html#XuanSHFZCG06>
rdfs:seeAlso <https://doi.org/10.1007/11922841_5>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/iwdw>
dc:subject steganalysis, co-occurrence matrix, class-wise non-principal components analysis (CNPCA). (xsd:string)
dc:title Steganalysis Using High-Dimensional Features Derived from Co-occurrence Matrix and Class-Wise Non-Principal Components Analysis (CNPCA). (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document