Modern digital libraries require user-friendly and yet responsive access to the rapidly growing, heterogeneous, and distributed collection of information sources. However, the inc...
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
— In this paper we consider the problem of collecting a large amount of data from several different hosts to a single destination in a wide-area network. Often, due to congestion...
William C. Cheng, Cheng-Fu Chou, Leana Golubchik, ...
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
Recent years, many efficient data dissemination protocols for mobile sinks in large scale sensor networks are currently under developed by researchers. In this paper we propose CO...
Hung Le Xuan, Dae Hong Seo, Sungyoung Lee, Young-K...