Shape Descriptors for classification of functional data

dc.contributor.author	Epifanio, Irene
dc.date.accessioned	2010-06-04T08:39:08Z
dc.date.available	2010-06-04T08:39:08Z
dc.date.issued	2008
dc.identifier.issn	00401706
dc.identifier.uri	http://hdl.handle.net/10234/13173
dc.description.abstract	Curve 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.extent	10 p.
dc.language.iso	eng
dc.publisher	American Statistical Association
dc.relation.isPartOfSeries	Technometrics; vol. 50, núm. 3
dc.rights.uri	http://rightsstatements.org/vocab/CNE/1.0/	*
dc.subject	Curve discrimination
dc.subject	Statistical moment
dc.subject	Independent component analysis
dc.subject	Spatial size distribution
dc.subject	Morphological covariance
dc.subject.other	Matemàtica
dc.title	Shape Descriptors for classification of functional data
dc.type	info:eu-repo/semantics/article
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.type.version	info:eu-repo/semantics/acceptedVersion