Parallel programming on distributed memory systems is one of the most challenging research areas in parallel computingtoday. Objectbased parallel programming languages are an impor...
When implementing persistent objects on a relational database, a major performance issue is prefetching data to minimize the number of roundtrips to the database. This is especial...
Existing federated database systems (FDBS) provide uniform access to multiple heterogeneous DBS, but do not enable objects to move across the DBS while retaining global identity. ...
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
We study convergence properties of empirical minimization of a stochastic strongly convex objective, where the stochastic component is linear. We show that the value attained by t...