Title :
The Rotational Lasso
Author :
Lorbert, Alexander ; Ramadge, Peter J.
Author_Institution :
Dept. of Electrical Engineering, Princeton University, NJ, USA
Abstract :
This paper presents a sparse approach of solving the one-sided Procrustes problem with special orthogonal constraint. By leveraging a planar decomposition common to all rotation matrices, a new constraint is introduced into this classical problem in the form of a sparsity-inducing norm. We call the resulting optimization problem the Rotational Lasso. Experimental results are presented from a synthetic dataset.
Keywords :
Equations; Mathematical model; Matrix decomposition; Optimization; Sparse matrices; Transmission line matrix methods; Yttrium; Orthogonal Procrustes problem; estimation; gradient methods; planar rotations; sparsity;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague, Czech Republic
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5947203
