Fast recovery from a union of subspaces

Fast recovery from a union of subspaces

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© 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 (Author), Indyk, Piotr (Author), Schmidt, Ludwig (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Curran Associates Inc., 2021-12-16T17:25:58Z.
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