19 search results - page 1 / 4 » The Group Dantzig Selector |
JMLR
2010
13 years 1 months ago
2010
We introduce a new method -- the group Dantzig selector -- for high dimensional sparse regression with group structure, which has a convincing theory about why utilizing the group...
CIMAGING
2009
13 years 8 months ago
2009
The Dantzig selector is a near ideal estimator for recovery of sparse signals from linear measurements in the presence of noise. It is a convex optimization problem which can be r...
CISS
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract—The Dantzig selector is a recently introduced technique for near-optimal estimatation of sparse signals from a limited set of measurements. This paper offers an interpre...
CISS
2010
IEEE
12 years 10 months ago
2010
IEEE
—Recovery of sparse signals from noisy observations is a problem that arises in many information processing contexts. LASSO and the Dantzig selector (DS) are two well-known schem...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
We introduce the Multiplicative Update Selector and Estimator (MUSE) algorithm for sparse approximation in underdetermined linear regression problems. Given f = Φα∗ + µ, the ...