17 search results - page 1 / 4 » Algorithms for robust linear regression by exploiting the co... |
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
We provide two compressive sensing (CS) recovery algorithms based on iterative hard-thresholding. The algorithms, collectively dubbed as algebraic pursuits (ALPS), exploit the res...
ICASSP
2008
IEEE
14 years 3 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...
ISBI
2011
IEEE
13 years 7 days ago
2011
IEEE
For medical image analysis, the test statistic of the measurements is usually constructed at every voxels in space and thresholded to determine the regions of significant signals...
ICASSP
2011
IEEE
13 years 8 days 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 ...