Titlebook: Structural, Syntactic, and Statistical Pattern Recognition; Joint IAPR Internati Ana Fred,Terry M. Caelli,Dick de Ridder Conference proceed

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Structural, Syntactic, and Statistical Pattern Recognition978-3-540-27868-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Graphical-Based Learning Environments for Pattern Recognition characteristics of the graph focused models and the node focused models respectively. A supervised learning algorithm is derived to estimate the parameters of the graph neural network model. Some experimental results are shown to validate the proposed learning algorithm, and demonstrate the generalization capability of the proposed model.

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