In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
CORBA is an emerging middleware infrastructure with open standardization that is receiving a good acceptance since it makes easier to program distributed objects. CORBA is being e...
Carlos Montez, Joni da Silva Fraga, Jean-Marie Far...
When the workflow application is executed in Service-Oriented Grid (SOG), performance issues such as service scheduling should be considered, to achieve high and stable performance...
— The Internet has witnessed a rapid growth in deployment of Web-based streaming applications during recent years. In these applications, server should be able to perform end-to-...
Reza Rejaie, Haobo Yu, Mark Handley, Deborah Estri...