Title :
Threshold selection for group sparsity
Author :
Solo, Victor ; Ulfarsson, Magnus
Author_Institution :
School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, AUSTRALIA
Abstract :
The group Lasso is an extension of the Lasso or l1-penalised least squares procedure. It forces simultaneous zeroing of groups of variables and has already been applied to sparse component analysis and ill-conditioned inverse problems. In this paper we address the unresolved problem of threshold or penalty parameter selection.
Keywords :
Australia; Explosions; Image coding; Image processing; Inverse problems; Least squares methods; Magnetoencephalography; Noise reduction; Numerical analysis; Statistical analysis; LASSO; SURE; l1 denoising; sparse;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX, USA
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495858
