Despite the fact that the human genome was sequenced ten years ago, there exists no database of cis-regulatory architecture that is validated conclusively by rigorous …
In correlation clustering, given similarity or dissimilarity information for all pairs of data items, the goal is to find a clustering of the items into …
This dissertation shows that qualitative and quantitative characterization of patterned structures in brain connectivity data obtained using diffusion MRI not only improves the exploration of …
This thesis studies various techniques that exploit correlations between<br/><br/> attributes to significantly improve the performance and maintainability of<br/><br/> analytic databases.<br/><br/> We first show how a …
Recent natural disasters, such as Hurricane Katrina in 2005 and the Japan earthquake in 2011, have demonstrated that situational awareness, the focus of much research …
Solving combinatorial problems is an interplay between search and inference. In this thesis, we focus on search and investigate its important aspects. We start with …
This dissertation introduces and evaluates novel visualization methods that enable researchers to derive and test hypotheses from available scientific data faster and more accurately than …
When developing a new heuristic or complete algorithm for a constraint satisfaction or constrained optimization problem, we frequently face the problem of choice. There may …
Web programs are distinct from traditional programs in two key ways. First,<br/><br/> programs freely compose data and code from several sources. Second, the user<br/><br/> often …
Model-based, data-driven prediction is emerging as an essential ingredient for both user-facing applications, such as predictive analytics, and system-facing applications such as autonomic computing. This …
Visual sensor networks (VSN) are networks of smart cameras capable of local image processing and data communication. Unlike traditional camera-based surveillance network in which cameras …
This dissertation investigates learning dependency grammars for statistical natural language parsing from corpora without parse tree annotations. Most successful work in unsupervised dependency grammar induction …
Realistic clothing and hair animation are necessary for many applications such as special effects, gaming, and on-line fashion. Thanks to the advances in computer graphics, …
