In this work we propose the use of Functional Data Analysis (FDA) as a powerful methodology to tackle problems where multiple continuous speech parameters have to be analyzed join...
This project addresses the issue of developing interactive rendering methods for datasets which cannot be stored on a single hard drive or in main memory anymore. Our dataset is a...
— In a push-based system, updates that are made to objects are sent to clients, without them explicitly requesting these updates. The focus of this research is to develop a serve...
Scalable storage architectures allow for the addition or removal of storage devices to increase storage capacity and bandwidth or retire older devices. Assuming random placement of...
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...