We propose a new and powerful tool for the analysis of trajectories, which in particular allows for more temporally aware analyses. Time plays an important role in the analysis of ...
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
We apply the classic theory of linearizability to operations that must wait for some other thread to establish a precondition. We model such an operation as a request and a follow-...
Data integration of several sources has gained considerable attentions with the recent popularity of the Web. In the real world, some information may be missing i.e., partial and ...
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...