This work was supported by the National High Tech- nology Research and Development Program of China (2012AA01A510 and 2012AA01AS09), and partially supported by the National Natural Science Foundation of China (NSFC) (Grant Nos. 61402518, 61403060), and the Jiangsu Province Science Foundation for Youths (BK20150722).
Counting the cardinality of flows for massive high-speed traffic over sliding windows is still a challenging work under time and space constrains, but plays a key role in many network applications, such as traffic man...
As 3D technology, including computer graphics, virtual reality and 3D printing, has been rapidly developed in the past years, 3D models are gaining an increasingly huge demand. Traditional 3D modeling platforms such a...
Acknowledgements This work was supported in part by the National Natural Science Foundation of China (Grant Nos. 60970093, 60902078, 6117210, and 61072151); by Natural Science Foundation of Beijing (4112061), and by the Scientific Research Foundation for the Returned Overseas Chinese Scholars of State Education Ministry of China.
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Sliding-window multi-stream join (SWMJ) is a fundamental operation for correlating information from dif- ferent streams. We provide a solution to the problem of as- sessing significance of the SWMJ result by focusin...