— In ultra-deep sub-micron technologies, modeling waveform shapes correctly is essential for accurate timing and noise analysis. Due to process and environmental variations, ther...
Vladimir Zolotov, Jinjun Xiong, Soroush Abbaspour,...
Abstract. Recently, many researchers are working on semantics preserving model transformation. In the field of graph transformation one can think of translating graph grammars writ...
This paper presents a framework for construction of animated models from captured surface shape of real objects. Algorithms are introduced to transform the captured surface shape ...
The Hepar II system is based on a Bayesian network model of a subset of the domain of hepatology in which the structure of the network is elicited from an expert diagnostician and ...
We present an unsupervised algorithm for aligning a pair of shapes in the presence of significant articulated motion and missing data, while assuming no knowledge of a template, u...