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» Condition Numbers of Gaussian Random Matrices
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SENSYS
2003
ACM
14 years 1 months ago
On the scaling laws of dense wireless sensor networks
We consider dense wireless sensor networks deployed to observe arbitrary random fields. The requirement is to reconstruct an estimate of the random field at a certain collector ...
Praveen Kumar Gopala, Hesham El Gamal
ICML
2009
IEEE
14 years 8 months ago
Multi-view clustering via canonical correlation analysis
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...
TIT
2002
121views more  TIT 2002»
13 years 7 months ago
Asymptotic normality of linear multiuser receiver outputs
This paper proves large-system asymptotic normality of the output of a family of linear multiuser receivers that can be arbitrarily well approximated by polynomial receivers. This ...
Dongning Guo, Sergio Verdú, Lars K. Rasmuss...
SIAMMAX
2010
145views more  SIAMMAX 2010»
13 years 2 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu
BMCBI
2010
190views more  BMCBI 2010»
13 years 8 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...