Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In...
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
In today's fast-paced world, it is increasingly difficult to understand and act promptly upon the content of the many information streams available. Temporal pooling addresse...
Conrad Albrecht-Buehler, Benjamin Watson, David A....
In this paper, we propose a novel motion vector processing approach based on the temporal analysis of motion vector reliability for motion-compensated frame interpolation. We firs...
A real-time visual processing system using a generalpurpose vision chip, an image sensor in which photo detectors and processing elements are integrated, is described. In order to...