@inproceedings{17d9c6bc6a8c42f6afa0fd2de20594a7,
title = "The Rotational Lasso",
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 = "Orthogonal Procrustes problem, estimation, gradient methods, planar rotations, sparsity",
author = "Alexander Lorbert and Ramadge, {Peter J.}",
year = "2011",
doi = "10.1109/ICASSP.2011.5947203",
language = "English (US)",
isbn = "9781457705397",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "3896--3899",
booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",
note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",
}