Nowadays, the maturity reached by the Web engineering research community can be assessed by the myriad of web design methods that have proven successful for the specification of th...
DSP applications can be suitably represented using Process Network Models. This paper uses a modification of Kahn Process Network to solve the problem of finding an optimum arch...
We describe an architecture for representing and managing context shifts that supports dynamic data interpretation. This architecture utilizes two layers of learning and three lay...
Nikita A. Sakhanenko, George F. Luger, Carl R. Ste...
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
Wireless sensor networks are poised to enable continuous data collection on unprecedented scales, in terms of area location and size, and frequency. This is a great boon to field...
Adam Silberstein, Gregory Filpus, Kamesh Munagala,...