152 search results - page 2 / 31 » Efficient Projection for Compressed Sensing |
ICIP
2010
IEEE
14 years 9 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...
104
Voted
ICIP
2009
IEEE
14 years 9 months ago
2009
IEEE
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
102
Voted
ICML
2007
IEEE
16 years 13 days ago
2007
IEEE
This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
90
Voted
DCC
2008
IEEE
15 years 11 months ago
2008
IEEE
A method is proposed for the compression of hyperspectral signature vectors on severely resourceconstrained encoding platforms. The proposed technique, compressive-projection prin...
112
click to vote
ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...