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(Reference retrieved automatically from Google Scholar through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Inferring shape evolution

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Author(s):
Campos Bianchi‚ A.G. ; Dos Santos‚ M.F. ; Hamassaki Britto‚ D.E. ; Costa‚ L.F.
Total Authors: 4
Document type: Journal article
Source: PATTERN RECOGNITION LETTERS; v. 24, n. 7, p. 1005-1014, 2003.
Abstract

Dynamic 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. (C) 2002 Elsevier Science B.V. All rights reserved. (AU)

FAPESP's process: 01/09047-2 - Cellular and molecular aspects of vertebrate retina development and degeneration
Grantee:Dania Emi Hamassaki
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 99/12765-2 - Development and assessment of novel and accurate methods in shape analysis and computer vision
Grantee:Luciano da Fontoura Costa
Support Opportunities: Research Projects - Thematic Grants