As a software system evolves, its architecture will drift. System changes are often done without considering their effects on the system structure. These changes often introduce s...
John B. Tran, Michael W. Godfrey, Eric H. S. Lee, ...
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
Programs with irregular patterns of dynamic data structures and/or those with complicated control structures such as recursion are notoriously difficult to parallelize efficient...
Sheng Li, Amit Kashyap, Shannon K. Kuntz, Jay B. B...
Large clusters of mutual dependence have long been regarded as a problem impeding comprehension, testing, maintenance, and reverse engineering. An effective visualization can aid ...