kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
In this paper, we present a test pattern generation algorithm aiming at signal integrity faults on long interconnects. This is achieved by considering the effect of inputs and par...
We introduce Petruchio, a tool for computing Petri net translations of dynamic networks. To cater for unbounded architectures beyond the capabilities of existing implementations, t...
A new scheme for disparity vector (DV) estimation and virtual view synthesis to generate 3-D video display from a pair of stereo video inputs is investigated in this work. Two per...
Abstract- Sequential parameter optimization is a heuristic that combines classical and modern statistical techniques to improve the performance of search algorithms. To demonstrate...
Thomas Bartz-Beielstein, Christian Lasarczyk, Mike...