K-median clustering, model-based compressive sensing, and sparse recovery for earth mover distance

We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m x n matrices A such that for any x, given Ax, we can recover a k-sparse approximation to x under the EMD distance. One construction yields m=O(k log (n/k)) and a 1 +...

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Bibliographic Details
Main Authors: Indyk, Piotr, Price, Eric C.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Association for Computing Machinery (ACM) 2012
Online Access:http://hdl.handle.net/1721.1/73011
https://orcid.org/0000-0002-7983-9524