— In this paper we present an automated support for software model evolution using a formal language constructs. For this, we extended Object Constraint Language (OCL) with actio...
Abstract. We propose a model of the shape, motion and appearance of a sequence of images that captures occlusions, scene deformations, arbitrary viewpoint variations and changes in...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
- For sub-90nm technology nodes and below, random fluctuations of within-die physical process properties are also known as random on-chip variation (OCV). It impacts on the VLSI/So...
Jun-Fu Huang, Victor C. Y. Chang, Sally Liu, Kelvi...
Traditional background modeling and subtraction methods have a strong assumption that the scenes are of static structures with limited perturbation. These methods will perform poo...