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dc.contributor.authorEpifanio López, Irene
dc.date.accessioned2010-06-04T08:39:08Z
dc.date.available2010-06-04T08:39:08Z
dc.date.issued2008
dc.identifier.issn00401706
dc.identifier.urihttp://hdl.handle.net/10234/13173
dc.description.abstractCurve discrimination is an important task in engineering and other sciences. We propose several shape descriptors for classifying functional data, inspired by form anal- ysis from the image analysis eld: statistical moments, coe cients of the components of independent component analysis (ICA) and two mathematical morphology descrip- tors (morphological covariance and spatial size distributions). They are applied to three problems: an arti cial problem, a speech recognition problem and a biomechan- ical application. Shape descriptors are compared with other methods in the literature, obtaining better or similar performances
dc.format.extent10 p.
dc.language.isoeng
dc.publisherAmerican Statistical Association
dc.relation.isPartOfSeriesTechnometrics; vol. 50, núm. 3
dc.subjectCurve discrimination
dc.subjectStatistical moment
dc.subjectIndependent component analysis
dc.subjectSpatial size distribution
dc.subjectMorphological covariance
dc.subject.otherMatemàtica
dc.titleShape Descriptors for classification of functional data
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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