In this paper, we introduce a novel architecture for a hardware based network intrusion detection system (NIDS). Current software-based NIDS are too compute intensive and can not ...
Several recent works have used neural networks to discriminate vigilance states in humans from electroencephalographic (EEG) signals. Our study aims at being more exhaustive. It t...
Given the image of a real-world scene and a polygonal 3-D model of a depicted object, its apparent size, image coordinates, and 3-D orientation are autonomously detected. Based on...
Feature indexing techniques are promising for object recognition since they can quickly reduce the set of possible matches for a set of image features. This work exploits another ...
This paper discusses the memory interface of custom computing machines. We present a high speed parallel memory for the MoM-PDA machine, which is based on the Xputer paradigm. The ...
Reiner W. Hartenstein, Michael Herz, Thomas Hoffma...