The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...
Data aggregation scheduling, or convergecast, is a fundamental pattern of communication in wireless sensor networks (WSNs), where sensor nodes aggregate and relay data to a sink no...
In this paper, we present an efficient algorithm for managing replicated data. We impose a logical tree structure on the set of copies of an object. In a failurefree environment t...
Knowledge extraction from data volumes of ever increasing size requires ever more flexible tools to facilitate interactive query. Interactivity enables real-time hypothesis testin...
Kenny Gruchalla, Mark Rast, Elizabeth Bradley, Joh...
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...