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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638262