Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
In this paper, we address the problem of inverse procedural modeling: Given a piece of exemplar 3D geometry, we would like to find a set of rules that describe objects that are s...
The social sciences strive to understand the political, social, and cultural world around us, but have been impaired by limited access to the quantitative data sources enjoyed by ...
Mikhail Bautin, Charles B. Ward, Akshay Patil, Ste...
Recent high-performance processors employ sophisticated techniques to overlap and simultaneously execute multiple computation and memory operations. Intuitively, these techniques ...
Anastassia Ailamaki, David J. DeWitt, Mark D. Hill...
The discipline of narratology has long recognized the need to classify documents as instances of different text types. We have discovered that classification is as applicable to h...