DocumentCode
1666632
Title
The generalized lasso is reducible to a subspace constrained lasso
Author
Hao Xu ; Eis, David J. ; Ramadge, Peter J.
Author_Institution
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
fYear
2013
Firstpage
3268
Lastpage
3272
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
dictionaries; image processing; 2D fused lasso; generalized lasso; image approximation; modified dictionary; standard lasso problem; subspace constrained lasso; Compressed sensing; Dictionaries; Educational institutions; Magnetic resonance imaging; Speech recognition; Standards; Vectors; Lagrange dual; Sparsity; lasso; regularized regression;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2013.6638262
Filename
6638262
Link To Document