This paper proposes two types of artificial neural networks to classify the Buddhist iconographies in order to compare the performances of two networks; multilayer feed forward network and Hopfield network. The quality of ...

In this paper, we propose a support vector machines (SVMs) method of classifying image regions hierarchically based on their semantics rather than on low-level features. First, image regions are segmented using the ...