89 search results - page 2 / 18 » Sparse Recovery by Non-convex Optimization -- Instance Optim... |
TSP
2010
12 years 11 months ago
2010
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
ICIP
2009
IEEE
14 years 6 months ago
2009
IEEE
This work focuses on several optimization problems involved in recovery of sparse solutions of linear inverse problems. Such problems appear in many fields including image and sig...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
The 2- 1 compressed sensing minimization problem can be solved efficiently by gradient projection. In imaging applications, the signal of interest corresponds to nonnegative pixel...
INFOCOM
2012
IEEE
11 years 7 months ago
2012
IEEE
—This paper addresses the problem of sparse recovery with graph constraints in the sense that we can take additive measurements over nodes only if they induce a connected subgrap...
TIP
2010
12 years 11 months ago
2010
We propose a new fast algorithm for solving one of the standard formulations of image restoration and reconstruction which consists of an unconstrained optimization problem where t...