Inferring shape evolution
Andrea G. Campos Bianchi, Marinilce Fagundes dos Santos, Dânia Hamassaki Britto, Luciano da Fontoura Costa · Pattern Recognition Letters · 2002
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.