Inferring shape evolution.

dc.contributor.authorBianchi, Andrea Gomes Campos
dc.contributor.authorSantos, Marinilce Fagundes dos
dc.contributor.authorHamassaki, Dânia Emia
dc.contributor.authorCosta, Luciano da Fontoura
dc.date.accessioned2012-07-10T15:38:27Z
dc.date.available2012-07-10T15:38:27Z
dc.date.issued2003
dc.description.abstractDynamic shapes represent an important issue in several scientific and technological contexts. The current article presents a model-based mathematic-computational approach for inferring the processes of neural evolution, including analytical mappings, convolution models and normal wavefront propagation, illustrated with respect to stationary and non-stationary evolutions along time and space.pt_BR
dc.identifier.citationBIANCHI, A. G. C. et al. Inferring shape evolution. Pattern Recognition Letters, v. 24, n. 7, p. 1005-1014, abr. 2003. Disponível em: <https://www.sciencedirect.com/science/article/pii/S0021997506000594>. Acesso em: 10 jul. 2012.pt_BR
dc.identifier.issn01678655
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/1049
dc.language.isoen_USpt_BR
dc.rights.licenseO periódico Pattern Recognition Letters concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3345300861697.
dc.subjectCorrespondencept_BR
dc.subjectNormal evolutionpt_BR
dc.subjectShape dynamicspt_BR
dc.titleInferring shape evolution.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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