Camera networks are being used in more applications as different types of sensor networks are used to instrument large spaces. Here we show a method for localizing the cameras in ...
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
The hierarchical hypercube network is suitable for massively parallel systems. An appealing property of this network is the low number of connections per processor, which can faci...
In next generation network (NGN), end-to-end QoS is one of the critical issues for real-time multimedia communications and applications. Such applications are sensitive to the avai...