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» Covariance Matrix Estimation With Heterogeneous Samples
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JMLR
2012
11 years 10 months ago
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
We consider the sparse inverse covariance regularization problem or graphical lasso with regularization parameter λ. Suppose the sample covariance graph formed by thresholding th...
Rahul Mazumder, Trevor Hastie
ICCV
2007
IEEE
14 years 9 months ago
Semi-supervised Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
Deng Cai, Xiaofei He, Jiawei Han
DSMML
2004
Springer
13 years 11 months ago
Variational Bayes Estimation of Mixing Coefficients
We investigate theoretically some properties of variational Bayes approximations based on estimating the mixing coefficients of known densities. We show that, with probability 1 a...
Bo Wang 0002, D. M. Titterington
TSP
2008
117views more  TSP 2008»
13 years 7 months ago
Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples
The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
R. R. Nadakuditi, A. Edelman
TIT
2002
146views more  TIT 2002»
13 years 7 months ago
Least squares estimation of 2-D sinusoids in colored noise: Asymptotic analysis
This paper considers the problem of estimating the parameters of real-valued two-dimensional (2-D) sinusoidal signals observed in colored noise. This problem is a special case of t...
Guy Cohen, Joseph M. Francos