Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
Abstract-- Leveraging service oriented programming paradigm would significantly affect the way people build software systems. However, to achieve this goal a solid software design ...
Aliaksei Yanchuk, Alexander Ivanyukovich, Maurizio...
In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM...
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
For the next generation of multi-core processors, the onchip interconnection networks must be efficient to achieve high data throughput and performance. Moreover, these interconne...
Henrique C. Freitas, Philippe Olivier Alexandre Na...