We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
Background: We present a biological data warehouse called Atlas that locally stores and integrates biological sequences, molecular interactions, homology information, functional a...
Sohrab P. Shah, Yong Huang, Tao Xu, Macaire M. S. ...
—We present Sensor Andrew, a multi-disciplinary campus-wide scalable sensor network that is designed to host a wide range of sensor, actuator and low-power applications. The goal...
Anthony Rowe, Mario Berges, Gaurav Bhatia, Ethan G...