Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
We study the problem of locating in space and over time a network path’s tight link, that is the link with the least available bandwidth on the path. Tight link localization ben...
Vinay J. Ribeiro, Rudolf H. Riedi, Richard G. Bara...
Given that the global DNS system, especially at the higher root and top-levels, experiences significant query loads, we seek to answer the following questions: (1) How does the ch...
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...