dc.contributor.author | Indyk, Piotr | |
dc.contributor.author | Kapralov, Mikhail | |
dc.date.accessioned | 2017-08-09T17:49:09Z | |
dc.date.available | 2017-08-09T17:49:09Z | |
dc.date.issued | 2014-12 | |
dc.date.submitted | 2014-10 | |
dc.identifier.isbn | 978-1-4799-6517-5 | |
dc.identifier.issn | 0272-5428 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/110932 | |
dc.description.abstract | We give an algorithm for ℓ[subscript 2]/ℓ[subscript 2] sparse recovery from Fourier measurements using O(k log N) samples, matching the lower bound of Do Ba-Indyk-Price-Woodruff'10 for non-adaptive algorithms up to constant factors for any k ≤ N [superscript 1-δ]. The algorithm runs in Õ(N) time. Our algorithm extends to higher dimensions, leading to sample complexity of Õd(k log N), which is optimal up to constant factors for any d = O(1). These are the first sample optimal algorithms for these problems. A preliminary experimental evaluation indicates that our algorithm has empirical sampling complexity comparable to that of other recovery methods known in the literature, while providing strong provable guarantees on the recovery quality. | en_US |
dc.description.sponsorship | National Science Foundation (U.S.) (CCF-1065125) | en_US |
dc.description.sponsorship | United States. Air Force Office of Scientific Research (FA9550-12-1-0411) | en_US |
dc.description.sponsorship | United States. Defense Advanced Research Projects Agency (FA9550-12-1-0411) | en_US |
dc.language.iso | en_US | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/FOCS.2014.61 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | arXiv | en_US |
dc.title | Sample-Optimal Fourier Sampling in Any Constant Dimension | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Indyk, Piotr, and Kapralov, Michael. “Sample-Optimal Fourier Sampling in Any Constant Dimension.” 2014 IEEE 55th Annual Symposium on Foundations of Computer Science, Philadelphia, Pennsylvania, USA, October 18-21 2014, Institute of Electrical and Electronics Engineers (IEEE), December 2014 | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.contributor.mitauthor | Indyk, Piotr | |
dc.contributor.mitauthor | Kapralov, Mikhail | |
dc.relation.journal | 2014 IEEE 55th Annual Symposium on Foundations of Computer Science | en_US |
dc.eprint.version | Original manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dspace.orderedauthors | Indyk, Piotr; Kapralov, Michael | en_US |
dspace.embargo.terms | N | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-7983-9524 | |
mit.license | OPEN_ACCESS_POLICY | en_US |
mit.metadata.status | Complete | |