Network intrusion detection systems (NIDSs) critically rely on processing a great deal of state. Often much of this state resides solely in the volatile processor memory accessibl...
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
In this paper we present a method for estimating a person's head pose with a stereo camera. Our approach focuses on the application of human-robot interaction, where people m...
Recent technological advances have produced network interfaces that provide users with very low-latency access to the memory of remote machines. We examine the impact of such netw...
Leonidas I. Kontothanassis, Galen C. Hunt, Robert ...
Most complexity measures for concurrent algorithms for asynchronous shared-memory architectures focus on process steps and memory consumption. In practice, however, performance of ...