@inproceedings{aa26a41bc1e44a4684689d12e8df4bf9,
title = "Threshold selection for group sparsity",
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 = "L denoising, Lasso, Sparse, Sure",
author = "Victor Solo and Magnus Ulfarsson",
year = "2010",
doi = "10.1109/ICASSP.2010.5495858",
language = "English",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "3754--3757",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
note = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 ; Conference date: 14-03-2010 Through 19-03-2010",
}