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» Estimating Missing Data in Data Streams
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TASLP
2011
13 years 4 months ago
Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition
— Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in speech recognition. MFT was mostly applied in the log-spectral domain since ...
Maarten Van Segbroeck, Hugo Van Hamme
IPPS
2008
IEEE
14 years 4 months ago
ContinuStreaming: Achieving high playback continuity of Gossip-based Peer-to-Peer streaming
Gossip-based Peer-to-Peer(P2P) streaming has been proved to be an effective and resilient method to stream qualified media contents in dynamic and heterogeneous network environme...
Zhenhua Li, Jiannong Cao, Guihai Chen
FOCS
2009
IEEE
14 years 4 months ago
The Data Stream Space Complexity of Cascaded Norms
Abstract— We consider the problem of estimating cascaded aggregates over a matrix presented as a sequence of updates in a data stream. A cascaded aggregate P ◦Q is defined by ...
T. S. Jayram, David P. Woodruff
PODS
2004
ACM
147views Database» more  PODS 2004»
14 years 10 months ago
Flexible Time Management in Data Stream Systems
Continuous queries in a Data Stream Management System (DSMS) rely on time as a basis for windows on streams and for defining a consistent semantics for multiple streams and updata...
Utkarsh Srivastava, Jennifer Widom
BMCBI
2008
190views more  BMCBI 2008»
13 years 10 months ago
Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes
Background: Gene expression data frequently contain missing values, however, most downstream analyses for microarray experiments require complete data. In the literature many meth...
Guy N. Brock, John R. Shaffer, Richard E. Blakesle...