142 search results - page 24 / 29 » Recovery of Sparsely Corrupted Signals |
ISNN
2007
Springer
14 years 1 months ago
2007
Springer
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Recent works in modified compressed sensing (CS) show that reconstruction of sparse or compressible signals with partially known support yields better results than traditional CS...
ACCV
2009
Springer
14 years 5 months ago
2009
Springer
We address the problem of recovering 3D human pose from single 2D images, in which the pose estimation problem is formulated as a direct nonlinear regression from image observation...
CISS
2011
IEEE
12 years 11 months ago
2011
IEEE
—In compressive sensing (CS), the Restricted Isometry Property (RIP) is a powerful condition on measurement operators which ensures robust recovery of sparse vectors is possible ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...