Increasingly, a number of applications across computer sciences and other science and engineering disciplines rely on, or can potentially benefit from, analysis and monitoring of d...
Autonomic computing – self-configuring, self-healing, self-optimizing applications, systems and networks – is widely believed to be a promising solution to everincreasing syst...
Gail E. Kaiser, Janak J. Parekh, Philip Gross, Giu...
We present a distributed spiking neuron network (SNN) for handling low-level visual perception in order to extract salient locations in robot camera images. We describe a new metho...
We have previously described a hybrid keyword search that combines metadata search with a traditional keyword search over unstructured context data. This hybrid search paradigm pro...
The paper presents an extended version of the SuperMatrix system -- a general tool supporting automatic acquisition of lexical semantic relations from corpora. Extensions focus mai...