Two neural networks that are trained on their mutual output synchronize to an identical time dependant weight vector. This novel phenomenon can be used for creation of a secure cr...
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
—Distance sensitivity is a locality concept that is useful for designing scalable wireless sensor network applications. In this paper, we formally define distance sensitivity an...
We consider the utility of two key properties of network-embedded storage: programmability and network-awareness. We describe two extensive applications, whose performance and fun...