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Artículo
Reconstructing persistent graph structures from noisy images
dc.creator | Chernov, Alexey | es |
dc.creator | Kurlin, Vitaliy | es |
dc.date.accessioned | 2015-07-02T07:21:48Z | |
dc.date.available | 2015-07-02T07:21:48Z | |
dc.date.issued | 2013 | es |
dc.identifier.issn | 1885-4508 | es |
dc.identifier.uri | http://hdl.handle.net/11441/26521 | |
dc.description.abstract | Let a point cloud be a noisy dotted image of a graph on the plane. We present a new fast algorithm for reconstructing the original graph from the given point cloud. Degrees of vertices in the graph are found by methods of persistent topology. Necessary parameters are automatically optimized by machine learning tools. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Universidad de Sevilla | es |
dc.relation.ispartof | Image-A : Applicable Mathematics in Image Engineering, 3 (5), 19-22 | es |
dc.rights | Atribución-NoComercial-SinDerivadas 4.0 España | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | es |
dc.subject | Graph reconstruction | es |
dc.subject | Noisy image | es |
dc.subject | Point cloud data | es |
dc.subject | Persistent topology | es |
dc.title | Reconstructing persistent graph structures from noisy images | es |
dc.type | info:eu-repo/semantics/article | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.relation.publisherversion | http://institucional.us.es/revistas/imagen_a/5/art_4.pdf | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/26521 |
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