Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Although both statistical methods and visualizations have been used by network analysts, exploratory data analysis remains a challenge. We propose that a tight integration of thes...
The problem of extracting information from large collections of imagery is a challenge with few good solutions. Computers typically cannot interpret imagery as effectively as huma...
Santosh Mathan, Deniz Erdogmus, Yonghong Huang, Mi...
In this note we introduce a new methodology that combines tools from social language processing and network analysis to identify socially situated relationships between individual...
Andrew J. Scholand, Yla R. Tausczik, James W. Penn...
We present a novel dynamic analysis technique that finds real deadlocks in multi-threaded programs. Our technique runs in two stages. In the first stage, we use an imprecise dyn...
Pallavi Joshi, Chang-Seo Park, Koushik Sen, Mayur ...