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CORR
2011
Springer
210views Education» more  CORR 2011»
14 years 6 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro
WOSP
2005
ACM
15 years 5 months ago
Performance characterization of decentralized algorithms for replica selection in distributed object systems
Designers of distributed systems often rely on replicas for increased robustness, scalability, and performance. Replicated server architectures require some technique to select a ...
Ceryen Tan, Kevin Mills
GLOBECOM
2006
IEEE
15 years 5 months ago
Non-Linear Precoding for OFDM Systems in Spatially-Correlated Frequency-Selective Fading MIMO Channels
— This paper presents non-linear precoding design in closed-loop multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) over spatiallycorrelated,...
Yu Fu, Witold A. Krzymien, Chintha Tellambura
BMCBI
2007
215views more  BMCBI 2007»
14 years 11 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
84
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WSC
2007
15 years 2 months ago
Indifference-zone subset selection procedures: using sample means to improve efficiency
Two-stage selection procedures have been widely studied and applied in determining the required sample size (i.e., the number of replications or batches) for selecting the best of...
E. Jack Chen