879 search results - page 123 / 176 » Forecasting high-dimensional data |
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
Recently, the Sparse Matrix Transform (SMT) has been proposed as a tool for estimating the eigen-decomposition of high dimensional data vectors [1]. The SMT approach has two major...
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BMCBI
2010
14 years 10 months ago
2010
Background: Inference of gene regulatory networks is a key goal in the quest for understanding fundamental cellular processes and revealing underlying relations among genes. With ...
CSDA
2008
14 years 9 months ago
2008
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
CSDA
2008
14 years 9 months ago
2008
The computation of the Tukey depth, also called halfspace depth, is very demanding, even in low dimensional spaces, because it requires that all possible one-dimensional projectio...
TIT
2008
14 years 9 months ago
2008
A new wavelet-based methodology for representing data on regular grids is introduced and studied. The main attraction of this new L-CAMP methodology is in the way it scales with th...