Many object-oriented frameworks exhibit a high density of design pattern applications. Usually, there are more instances in a framework than there are abstract classes. Yet, only ...
Dirk Riehle, Roger Brudermann, Thomas R. Gross, Ka...
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Much of the research work on design patterns has primarily focused on discovering and documenting patterns. Design patterns promise early reuse benefits at the design stage. To rea...
In the nanometer IC design, dummy fill is often performed to improve layout pattern uniformity and the post-CMP quality. However, filling dummies might greatly increase intercon...
In this paper we present a non parametric density-based data reduction technique designed to be used in robust parameter estimation problems. Existing approaches are focused on red...