Stream computing research is moving from terascale to petascale levels. It aims to rapidly analyze data as it streams in from many sources and make decisions with high speed and a...
Ankur Narang, Vikas Agarwal, Monu Kedia, Vijay K. ...
—This paper addresses the problem of identifying the top-k information hubs in a social network. Identifying topk information hubs is crucial for many applications such as advert...
Muhammad Usman Ilyas, Muhammad Zubair Shafiq, Alex...
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the Larg...
We study distributed boundary coverage of known environments using a team of miniature robots. Distributed boundary coverage is an instance of the multi-robot task-allocation prob...
Patrick Amstutz, Nikolaus Correll, Alcherio Martin...
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...