Traditional content-based e-mail spam filtering takes into account content of e-mail messages and apply machine learning techniques to infer patterns that discriminate spams from...
Calling context--the set of active methods on the stack--is critical for understanding the dynamic behavior of large programs. Dynamic program analysis tools, however, are almost ...
The design of concurrent programs is error-prone due to the interaction between concurrently executing threads. Traditional automated techniques for finding errors in concurrent ...
The most intuitive memory model for shared-memory multithreaded programming is sequential consistency (SC), but it disallows the use of many compiler and hardware optimizations th...
Daniel Marino, Abhayendra Singh, Todd D. Millstein...
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...