Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
In this paper, we have presented the design and evaluation of a compiler system, called APE,for automatic parallelization of scientific and engineering applications on distributed...
Irregular parallel algorithms pose a significant challenge for achieving high performance because of the difficulty predicting memory access patterns or execution paths. Within an...
Parametric design systems model a design as a constrained collection of schemata. Designers work in such systems at two levels: definition of schemata and constraints; and search w...
DBin is a Semantic Web application that enables groups of users with a common interest to cooperatively create semantically structured knowledge bases. These user groups, which we...