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» Robust estimation for sparse data
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BMCBI
2011
14 years 4 months ago
Motif-guided sparse decomposition of gene expression data for regulatory module identification
Background: Genes work coordinately as gene modules or gene networks. Various computational approaches have been proposed to find gene modules based on gene expression data; for e...
Ting Gong, Jianhua Xuan, Li Chen, Rebecca B. Riggi...
ICA
2010
Springer
14 years 11 months ago
Binary Sparse Coding
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Marc Henniges, Gervasio Puertas, Jörg Bornsch...
BMCBI
2008
136views more  BMCBI 2008»
14 years 10 months ago
Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models
Background: When predictive survival models are built from high-dimensional data, there are often additional covariates, such as clinical scores, that by all means have to be incl...
Harald Binder, Martin Schumacher
ICCV
1998
IEEE
15 years 2 months ago
Integrated Surface, Curve and Junction Inference from Sparse 3-D Data Sets
We areinterestedin descriptionsof 3-D data sets,as obtained from stereoor a 3-D digitizer. We thereforeconsideras inputa sparsesetof points, possibly associated with certain orien...
Chi-Keung Tang, Gérard G. Medioni
ICASSP
2011
IEEE
14 years 1 months ago
A sparse covariance-based method for direction of arrival estimation
In this paper we present a new sparse iterative covariance-based estimation approach, called SPICE, to the direction of arrival estimation problem. SPICE is obtained by the minimi...
Petre Stoica, Prabhu Babu, Jian Li