Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
The acceleration of acoustic likelihood calculation has been an important research issue for developing practical speech recognition systems. And there are various specification ...
A single physical machine provides multiple network monitoring and analysis services (e.g., IDS, QoS) which are installed on the same operating system. Isolation between services ...
Dual-execution/checkpointing based transient error tolerance techniques have been widely used in the high-end mission critical systems. These techniques, however, are not very att...