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Segmentation via Graph-Spectral Methods and Riemannian Geometry

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dc.contributor.authorRobles-Kelly, Antonio
dc.coverage.spatialVersailles France
dc.date.accessioned2015-12-13T22:52:10Z
dc.date.createdSeptember 5 2005
dc.date.issued2005
dc.date.updated2015-12-11T10:49:30Z
dc.identifier.isbn3540289690
dc.identifier.urihttp://hdl.handle.net/1885/81445
dc.publisherSpringer
dc.relation.ispartofseriesInternational Conference on Computer Analysis of Images and Patterns 2005
dc.sourceProceedings of International Conference on Computer Analysis of Images and Patterns 2005
dc.source.urihttp://acivs.org/caip2005/
dc.titleSegmentation via Graph-Spectral Methods and Riemannian Geometry
dc.typeConference paper
local.bibliographicCitation.lastpage668
local.bibliographicCitation.startpage661
local.contributor.affiliationRobles-Kelly, Antonio, College of Engineering and Computer Science, ANU
local.contributor.authoruidRobles-Kelly, Antonio, u1811090
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationMigratedxPub9736
local.type.statusPublished Version

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