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VLDB
2002
ACM
137views Database» more  VLDB 2002»
13 years 5 months ago
Comparing Data Streams Using Hamming Norms (How to Zero In)
Massive data streams are now fundamental to many data processing applications. For example, Internet routers produce large scale diagnostic data streams. Such streams are rarely s...
Graham Cormode, Mayur Datar, Piotr Indyk, S. Muthu...
STOC
2010
ACM
185views Algorithms» more  STOC 2010»
13 years 9 months ago
Measuring independence of datasets
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
Vladimir Braverman, Rafail Ostrovsky
NOSSDAV
2009
Springer
14 years 9 days ago
Cross-tree adjustment for spatialized audio streaming over networked virtual environments
In recent years, integrated spatialized voice services have become an appealing application for networked virtual environments (NVE), e.g., Second Life. With a spatialized voice s...
Ke Liang, Roger Zimmermann
JCSS
2006
77views more  JCSS 2006»
13 years 5 months ago
Sequential predictions based on algorithmic complexity
This paper studies sequence prediction based on the monotone Kolmogorov complexity Km=-log m, i.e. based on universal deterministic/one-part MDL. m is extremely close to Solomonof...
Marcus Hutter
SAC
2010
ACM
13 years 6 months ago
Spatiotemporal sampling for trajectory streams
In this paper, we present a summarization technique adapted to trajectory streams. The Spatiotemporal Stream Sampling (STSS) algorithm is a single-pass sampling technique that tak...
Mohamed Khalil El Mahrsi, Christine Potier, George...