Active learning is an important machine learning problem in reducing the human labeling
effort. Current active learning strategies are designed from human knowledge, and are …

Stream merging is a technique for efficiently delivering popular media-on-demand using
multicast and client buffers. Recently, several algorithms for stream merging have been …

To serve asynchronous requests using multicast, two categories of techniques---stream
merging and periodic broadcasting---have been proposed. For sequential streaming access …

Recent advances in multicast video streaming algorithms have opened up new ways to
provision video-on-demand services to potentially millions of users. However, the …

Previous analyses of scalable streaming protocols for delivery of stored multimedia have
largely focused on how the server bandwidth required for full-file delivery scales as the client …

Recently proposed scalable on-demand streaming protocols have previously been
evaluated using a system cost measure termed the" required server bandwidth". For the …

Although different video delivery techniques have been proposed for closed-loop video
service, such as batching and patching, the relationship among the system resource …

Continuous media, such as digital movies, video clips, and music, are becoming an
increasingly common way to convey information, entertain and educate people. However …

Two key technologies enabling scalable on-demand delivery of stored multimedia content
are work-ahead smoothing and multicast delivery. Work-ahead smoothing reduces the …

In this paper, we propose a lost data recovery scheme called the synchronized recovery
stream merging (SRSM) for sensor data stream multicasting in the unstable networks of the …