Generalized Hebbian learning for ellipse fitting
| dc.contributor.author | Wijewickrema, Sudanthi N. R. | |
| dc.contributor.author | Papliński, Andrew P. | |
| dc.contributor.editor | Skala, Václav | |
| dc.date.accessioned | 2013-01-23T11:18:51Z | |
| dc.date.available | 2013-01-23T11:18:51Z | |
| dc.date.issued | 2005 | |
| dc.description.abstract | In this paper, we investigate the use of a neural network employing Genralised Hebbian Learning for the approximation of an image of a hypothetically ellipsoidal object as an ellipse. Further, we discuss how the same algorithm is used with higher dimensional data to model hyperellipsoids, with the basic aim at a specific application, namely the modelling of an object as an ellipsoid given a set of 3-dimensional points. | en |
| dc.format | 2 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | WSCG '2005: Posters: The 13-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS, University of West Bohemia, Plzen, Czech Republic, p. 71-72. | en |
| dc.identifier.isbn | 80-903100-8-7 | |
| dc.identifier.uri | http://wscg.zcu.cz/WSCG2005/Papers_2005/Poster/!WSCG2005_Poster_Proceedings_Final.pdf | |
| dc.identifier.uri | http://hdl.handle.net/11025/919 | |
| dc.language.iso | en | en |
| dc.publisher | Václav Skala - UNION Agency | en |
| dc.relation.ispartofseries | WSCG '2005: Posters | en |
| dc.rights | © Václav Skala - UNION Agency | cs |
| dc.rights.access | openAccess | en |
| dc.subject | analýza hlavních komponent | cs |
| dc.subject | lícování elipsy | cs |
| dc.subject | generalizované Hebbův zákon učení | cs |
| dc.subject.translated | principal component analysis | en |
| dc.subject.translated | ellipse fitting | en |
| dc.subject.translated | generalised Hebbian learning | en |
| dc.title | Generalized Hebbian learning for ellipse fitting | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
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