The EU Water Framework Directive (WFD) requires river assessment systems based on benthic invertebrates. The AQEM project is developing, at a European scale, such a methodology, based on a comparison of communities of reference streams and degraded streams. The project is focussing on three main impact types: morphological degradation, organic pollution and acidification. This paper presents th...

Threshold and timing parameters are two fundamental factors that control arrival times and waveform signatures collected in an acoustic emission test. While this approach works successfully in many applications, recording the complete, continuous waveforms emitted from an AE test independently of threshold value is more appropriate for some specific applications. Applications such as those with...

The focus of this paper is a systematic study of differential privacy on streaming data using sketchbased algorithms. Previous works, like Dwork et al. (ICS 2010, STOC 2010), explored random sampling based streaming algorithms. We work in the well studied streaming model of computation, where the database is stored in the form of a matrix and a curator can access the database row-wise or column...

Analyzing massive data sets has been one of the key motivations for studying streaming algorithms. In recent years, there has been significant progress in analysing distributions in a streaming setting, but the progress on graph problems has been limited. A main reason for this has been the existence of linear space lower bounds for even simple problems such as determining the connectedness of ...

Media streaming over the Internet is becoming increasingly popular. Currently, most media is delivered using global content-delivery networks, providing a scalable and robust client-server model. However, content delivery infrastructures are expensive. One approach to reduce the cost of media delivery is to use peer-to-peer (P2P) overlay networks, where nodes share responsibility for delivering...

Bidirectional Path Tracing (BDPT) is a robust unbiased rendering algorithm that samples paths by connecting eye and light paths. By optimally combining different sampling strategies using Multiple Importance Sampling (MIS), BDPT efficiently renders scenes with complex light effects. However, BDPT does not map well on a streaming architecture such as the GPU; Stochastic path lengths lead to an u...

Decision tree classifiers are a widely used tool in data stream mining. The use of confidence intervals to estimate the gain associated with each split leads to very effective methods, like the popular Hoeffding tree algorithm. From a statistical viewpoint, the analysis of decision tree classifiers in a streaming setting requires knowing when enough new information has been collected to justify...

Driven by the fast growth of wireless communication, the trend of sharing spectrum among heterogeneous technologies becomes increasingly dominant. Identifying concurrent technologies is an important step towards efficient spectrum sharing. However, due to the complexity of recognition algorithms and the strict condition of sampling speed, communication systems capable of recognizing signals oth...

Subspace learning and matrix factorization problems have a great many applications in science and engineering, and efficient algorithms are critical as dataset sizes continue to grow. Many relevant problem formulations are non-convex, and in a variety of contexts it has been observed that solving the non-convex problem directly is not only efficient but reliably accurate. We discuss convergence...