12 search results - page 2 / 3 » High Dimensional Inverse Covariance Matrix Estimation via Li... |
KDD
2002
ACM
14 years 5 months ago
2002
ACM
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
JMLR
2012
11 years 7 months ago
2012
We consider the sparse inverse covariance regularization problem or graphical lasso with regularization parameter λ. Suppose the sample covariance graph formed by thresholding th...
CORR
2007
Springer
13 years 5 months ago
2007
Springer
Abstract. The simplex method in Linear Programming motivates several problems of asymptotic convex geometry. We discuss some conjectures and known results in two related directions...
TSP
2008
13 years 5 months ago
2008
Minimum variance beamforming, which uses a weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty i...
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...