Statistical shape modeling is a widely used technique for the representation and analysis of the shapes and shape variations present in a population. A statistical shape model mod...
R-tree based spatial join is useful because of both its superior performance and the wide spread implementation of R-trees. We present a new R-tree join method called BFRJ (Breadt...
Predictors are inherent components of state-of-the-art microprocessors. Branch predictors are discussed actively from diverse perspectives. Performance of a branch predictor large...
The paper describes the different phases and subdomains of process modelling and their needs for conceptual and linguistic support, and in what forms. We group the relevant factor...
In this paper, we propose fast and efficient techniques to analyze the power grid with accurate modeling of the transistor network. The solution techniques currently available for...
Anand Ramalingam, Giri Devarayanadurg, David Z. Pa...