In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
We consider a class of highly dynamic networks modelled on an urban subway system. We examine the problem of creating a map of such a subway in less than ideal conditions, where th...
Paola Flocchini, Matthew Kellett, Peter C. Mason, ...
A heuristic algorithm that maps data-processing tasks onto heterogeneous resources (i.e., processors and links of various capacities) is presented. The algorithm tries to achieve ...
Abstract. We suggest a novel approach to the Color Constancy Problem for multispectral imagery. Our approach is based on a dichromatic illumination model and lters out all spectral...
We study the important problem of how a supplier should optimally share the consequences of demand uncertainty (i.e., the cost of inventory excesses and shortages) with a retailer...