Personalized search systems have evolved to utilize heterogeneous features including document hyperlinks, category labels in various taxonomies and social tags in addition to free...
We present MediaBroker, a distributed framework designed to support pervasive computing applications. Specifically, we propose an architecture consisting of a transport engine and...
Martin Modahl, Ilya Bagrak, Matthew Wolenetz, Phil...
This paper presents a framework for efficiently streaming scalable video from multiple servers over heterogeneous network paths. We propose to use rateless codes, or Fountain cod...
Jean-Paul Wagner, Jacob Chakareski, Pascal Frossar...
The efficient execution of integration processes between distributed, heterogeneous data sources and applications is a challenging research area of data management. These inn proc...
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...