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...
Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Curran Associates Inc.
2021
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Online Access: | https://hdl.handle.net/1721.1/137639.2 |