Nearest neighbor search in high dimensional spaces is an interesting and important problem which is relevant for a wide variety of novel database applications. As recent results s...
Alexander Hinneburg, Charu C. Aggarwal, Daniel A. ...
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
The integration of scalable performance analysis in parallel development tools is difficult. The potential size of data sets and the need to compare results from multiple experime...
Kevin A. Huck, Allen D. Malony, Sameer Shende, Ala...
—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
The high-performance supercomputers will consist of several millions of CPUs in the next decade. The interconnection networks in such supercomputers play an important role for achi...