Fast recovery from a union of subspaces

Chinmay Hegde, Piotr Indyk, Ludwig Schmidt

Neural Information Processing Systems 

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.

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