Relevant component analysis (RCA) is a recently proposed metric learning method for semi-supervised learning applications. It is a simple and efficient method that has been applie...
Distributed computing has been slow to benefit from the productivity revolution that has transformed the desktop. We still treat the Web as a separate technology space: programmer...
Many new multimedia applications involve dynamic multiple participants, have stringent endto-end delay requirement and consume large amount of network resources. In this paper, we...
The structure of open nets, like the Internet, is highly dynamic, as the topology of component networks continuously evolves. In this context, node connectivity is a key aspect an...
: In an urban area, the demand for taxis is not always matched up with the supply. This paper proposes mining historical data to predict demand distributions with respect to contex...