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» Streaming SPARQL - Extending SPARQL to Process Data Streams
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210
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CVPR
2012
IEEE
13 years 8 months ago
Stream-based Joint Exploration-Exploitation Active Learning
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
PODS
2010
ACM
215views Database» more  PODS 2010»
15 years 8 months ago
An optimal algorithm for the distinct elements problem
We give the first optimal algorithm for estimating the number of distinct elements in a data stream, closing a long line of theoretical research on this problem begun by Flajolet...
Daniel M. Kane, Jelani Nelson, David P. Woodruff
JSA
2006
167views more  JSA 2006»
15 years 3 months ago
Pattern-driven prefetching for multimedia applications on embedded processors
Multimedia applications in general and video processing, such as the MPEG4 Visual stream decoders, in particular are increasingly popular and important workloads for future embedd...
Hassan Sbeyti, Smaïl Niar, Lieven Eeckhout
139
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ICDE
2010
IEEE
198views Database» more  ICDE 2010»
15 years 8 months ago
Power-aware data analysis in sensor networks
Abstract— Sensor networks have evolved to a powerful infrastructure component for event monitoring in many application scenarios. In addition to simple filter and aggregation op...
Daniel Klan, Katja Hose, Marcel Karnstedt, Kai-Uwe...
SDM
2003
SIAM
123views Data Mining» more  SDM 2003»
15 years 4 months ago
Fast Online SVD Revisions for Lightweight Recommender Systems
The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
Matthew Brand