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» Streaming Algorithms for Data in Motion
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SSDBM
2010
IEEE
181views Database» more  SSDBM 2010»
13 years 5 months ago
Stratified Reservoir Sampling over Heterogeneous Data Streams
Reservoir sampling is a well-known technique for random sampling over data streams. In many streaming applications, however, an input stream may be naturally heterogeneous, i.e., c...
Mohammed Al-Kateb, Byung Suk Lee
DIS
2006
Springer
13 years 11 months ago
Kalman Filters and Adaptive Windows for Learning in Data Streams
We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this i...
Albert Bifet, Ricard Gavaldà
CORR
2010
Springer
72views Education» more  CORR 2010»
13 years 8 months ago
Fast Moment Estimation in Data Streams in Optimal Space
We give a space-optimal algorithm with update time O(log2 (1/) log log(1/)) for (1
Daniel M. Kane, Jelani Nelson, Ely Porat, David P....
INFOCOM
2005
IEEE
14 years 1 months ago
CoolStreaming/DONet: a data-driven overlay network for peer-to-peer live media streaming
— This paper presents DONet, a Data-driven Overlay Network for live media streaming. The core operations in DONet are very simple: every node periodically exchanges data availabi...
Xinyan Zhang, Jiangchuan Liu, Bo Li, Tak-Shing Pet...
ICCV
2007
IEEE
14 years 2 months ago
Structure from Motion with Missing Data is NP-Hard
This paper shows that structure from motion is NP-hard for most sensible cost functions when missing data is allowed. The result provides a fundamental limitation of what is possi...
David Nistér, Fredrik Kahl, Henrik Stew&eac...