This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H...
Pattern matching is the most computation intensive task of a network intrusion detection system (NIDS). In this paper we present a hardware architecture to speed up the pattern mat...
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
We present a completely automatic method for obtaining the approximate calibration of a camera (alignment to a world frame and focal length) from a single image of an unknown scene...
Temporal locality in workloads creates conditions in which a server, in order to remain available, should quickly process bursts of requests with large service requirements. In th...