Fast recovery from a union of subspaces

© 2016 NIPS Foundation - All Rights Reserved. We address the problem of recovering a high-dimensional but structured vector from linear observations in a general setting where the vector can come from an arbitrary union of subspaces. This setup includes well-studied problems such as compressive sens...

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Bibliographic Details
Main Authors: Hegde, Chinmay, Indyk, Piotr, Schmidt, Ludwig
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Curran Associates Inc. 2021
Online Access:https://hdl.handle.net/1721.1/137639.2