We present a general-purpose, lossless compressor for streaming data. This compressor is based on the deplump probabilistic compressor for batch data. Approximations to the infere...
2.5G and 3G cellular networks are becoming more and more widespread. Therefore, the need for value added services is increasing rapidly. One of the key services that operators see...
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
This paper describes a method for the segmentation of dynamic data. It extends well known algorithms developed in the context of static clustering (e.g., the c-means algorithm, Ko...
Despite the success to deliver increasingly large number of channels to millions of users, the current multichannel P2P video streaming systems still suffer several fundamental per...