Show simple item record

dc.contributor.authorSharma, Alok
dc.contributor.authorPaliwal, Kuldip K
dc.date.accessioned2017-05-03T13:01:07Z
dc.date.available2017-05-03T13:01:07Z
dc.date.issued2006
dc.date.modified2009-09-21T05:48:34Z
dc.identifier.issn0031-3203
dc.identifier.doi10.1016/j.patcog.2006.04.021
dc.identifier.urihttp://hdl.handle.net/10072/14346
dc.description.abstractThis discussion presents a new perspective of subspace independent component analysis (ICA). The notion of a function of cumulants (kurtosis) is generalized to vector kurtosis. This vector kurtosis is utilized in the subspace ICA algorithm to estimate subspace independent components. One of the main advantages of the presented approach is its computational simplicity. The experiments have shown promising results in estimating subspace independent components.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherPergamon
dc.publisher.placeUnited Kingdom
dc.publisher.urihttp://www.elsevier.com/wps/find/journaldescription.cws_home/328/description#description
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom2227
dc.relation.ispartofpageto2232
dc.relation.ispartofjournalPattern Recognition
dc.relation.ispartofvolume39
dc.rights.retentionY
dc.subject.fieldofresearchInformation systems
dc.subject.fieldofresearchcode4609
dc.titleSubspace independent component analysis using vector kurtosis
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.date.issued2006
gro.hasfulltextNo Full Text
gro.griffith.authorPaliwal, Kuldip K.


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record