@inproceedings{d851f0c399f44be5b0cea23512644d12,
title = "The generalized lasso is reducible to a subspace constrained lasso",
abstract = "We investigate connections between the generalized lasso and the standard lasso problem. We show by an efficient direct construction, that the generalized lasso problem is reducible to a subspace constrained lasso. We then derive the dual of the subspace constrained lasso. This dual problem can be projected to the dual of a standard lasso problem with a modified dictionary. Finally, we discuss the application of these ideas to image approximation using the 2D fused lasso.",
keywords = "Lagrange dual, Sparsity, lasso, regularized regression",
author = "Hao Xu and Eis, {David J.} and Ramadge, {Peter J.}",
year = "2013",
month = oct,
day = "18",
doi = "10.1109/ICASSP.2013.6638262",
language = "English (US)",
isbn = "9781479903566",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "3268--3272",
booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",
note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",
}