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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Other Authors: | |
Format: | Article |
Language: | en_US |
Published: |
Association for Computing Machinery (ACM)
2012
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Online Access: | http://hdl.handle.net/1721.1/73011 https://orcid.org/0000-0002-7983-9524 |