Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...
Considering the voltage drop constraint over a distributed model for power/ground (P/G) network, we study the following two problems for physical synthesis of sleep transistors: t...
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
In this poster, we introduce the mechanism of handling the ordering structure of XML data by using the Nested Relational Sequence Database System (NRSD), which is built upon the N...
In this work we propose a new supervised deformable model that generalizes the classical contour-based snake. This model is defined to deform in a feature space generated by a se...