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JMLR
2010
158views more  JMLR 2010»
13 years 6 months ago
Restricted Eigenvalue Properties for Correlated Gaussian Designs
Methods based on 1-relaxation, such as basis pursuit and the Lasso, are very popular for sparse regression in high dimensions. The conditions for success of these methods are now ...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
ICRA
1998
IEEE
126views Robotics» more  ICRA 1998»
14 years 3 months ago
Matrix Normalization for Optimal Robot Design
Good robot performance often relies upon the selection of design parameters that lead to a well conditioned Jacobian or impedance "design" matrix. In this paper, a new d...
Leo J. Stocco, S. E. Salcudean, F. Sassani
BIBE
2008
IEEE
137views Bioinformatics» more  BIBE 2008»
14 years 6 months ago
A sparse variational Bayesian approach for fMRI data analysis
— The aim of this work is to propose a new approach for the determination of the design matrix in fMRI experiments. The design matrix embodies all available knowledge about exper...
Vangelis P. Oikonomou, Evanthia E. Tripoliti, Dimi...