In the past decade parallel disk systems have been highly scalable and able to alleviate the problem of disk I/O bottleneck, thereby being widely used to support a wide range of d...
This paper introduces a transparent self-configuring architecture for automatic scaling with temperature awareness in the database tier of a dynamic content web server. We use a ...
Saeed Ghanbari, Gokul Soundararajan, Jin Chen, Cri...
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Abstract. Many parallel scienti c applications have dynamic and irregular computational structure. However, most such applications exhibit persistence of computational load and com...
Milind A. Bhandarkar, Robert Brunner, Laxmikant V....
In Toronto's Kanata project, we are investigating the integration and exchange of data and metadata in dynamic, autonomous environments. Our focus is on the development and m...