We address the problem of dynamic texture (DT) classification using optical flow features. optical flow based approaches dominate among the currently available DT classification methods. The features used by these approaches often describe local image distortions in terms of such quantities as curl or divergence. Both normal and complete flows have been considered, with normal flow being used m...

In recent years a growing number of researchers investigated the performance of machine learning based traffic classification using statistical properties – classification techniques that do not require packet payload inspection. Such techniques assist Internet Service Providers to work within any legal or technical limitations on direct payload inspection. Potential new applications include au...

In recent years a growing number of researchers investigated the performance of machine learning based traffic classification using statistical properties – classification techniques that do not require packet payload inspection. Such techniques assist Internet Service Providers to work within any legal or technical limitations on direct payload inspection. Potential new applications include au...

We address the problem of dynamic texture (DT) classification using different techniques based on optic flow. The optic flow based approaches dominate among the currently available DT classification methods [4]. The optic flow features used by these methods often describe the local image distortion in terms of such quantities as curl or divergence. Both normal and complete flow have been consid...

In this paper, we propose a framework for the performance analysis and flow classification design of Multi-Protocol Over ATM (MPOA) network. The study based on the real Internet/intranet traces shows that even at high cost with long delay for each shortcut setup, MPOA can offer significant performance gain over the traditional routed network in an inter ELAN communication environment. In compar...

Due to the various masquerading strategies adopted by newer P2P applications to avoid detection and filtering, well-known port mapping techniques cannot guarantee their accuracy any more. Alternative approaches, application-signature mapping, behavior-based analysis, and machine learning based classification methods, show more promising accuracy. However, these methods still have complexity iss...

Understanding large-scale patterns in flow intermittence is important for effective river management. The duration and frequency of zero-flow periods are associated with the ecological characteristics of rivers and have important implications for water resources management. We used daily flow records from 628 gauging stations on rivers with minimally modified flows distributed throughout France...

In this paper, we analyse mathematical properties of spatial optical-flow computation algorithm. First by numerical analysis, we derive the convergence property on variational optical-flow computation method used for cardiac motion detection. From the convergence property of the algorithm, we clarify the condition for the scheduling of the regularisation parameters. This condition shows that fo...