We introduce approximate query techniques for searching and analyzing two-dimensional data sets such as line or scatter plots. Our techniques allow users to explore a dataset by d...
Kathy Ryall, Neal Lesh, Tom Lanning, Darren Leigh,...
Prior work has shown that reduced, ordered, binary decision diagrams (BDDs) can be a powerful tool for program trace analysis and visualization. Unfortunately, it can take hours o...
Abstract— We have experimented with different neural network based architectures for bio-inspired self-organizing texture and hardness perception systems. To this end we have dev...
Authorship analysis of electronic texts assists digital forensics and anti-terror investigation. Author identification can be seen as a single-label multi-class text categorizatio...
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...