28 search results - page 1 / 6 » Compressing Sparse Feature Vectors Using Random Ortho-Projec... |
ICPR
2010
IEEE
13 years 7 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 ...
CORR
2011
Springer
13 years 1 days ago
2011
Springer
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
ICIP
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper we describe a robust watermarking scheme for image tampering identification and localization. A compact representation of the image is first produced by assembling a...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
CDC
2010
IEEE
13 years 1 days ago
2010
IEEE
In this paper, we collect and discuss some of the recent theoretical results on channel identification using a random probe sequence. These results are part of the body of work kno...