This paper provides an overview of SANDS (Specialized Active Networking for Distributed Simulation), a DARPA-ITO sponsored research project that is using active networking to deve...
Steve Zabele, M. Dorsch, Zihui Ge, Ping Ji, Mark K...
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Succe...
Active learners alleviate the burden of labeling large amounts of data by detecting and asking the user to label only the most informative examples in the domain. We focus here on...
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...