19 search results - page 1 / 4 » The Group Dantzig Selector |
76
Voted
JMLR
2010
14 years 5 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...
101
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CIMAGING
2009
15 years 2 days 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
15 years 5 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...
74
Voted
CISS
2010
IEEE
14 years 2 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
14 years 2 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 ...