Beyond locality-sensitive hashing
Name
890152051-MIT.pdf
Description
Full printable version
Size
502.6 KB
Format
Adobe PDF
Checksum (MD5)
16835d4cb8c49fe18ee0a6877529b8ea
Author(s)
Razenshteyn, Ilya
Advisor(s)
Piotr Indyk.
Date Issued
2014
Publisher
Massachusetts Institute of Technology
Abstract
We present a new data structure for the c-approximate near neighbor problem (ANN) in the Euclidean space ... This is the first improvement over the result by Andoni and Indyk (FOCS 2006) and the first data structure that bypasses a locality-sensitive hashing lower bound proved by O'Donnell, Wu and Zhou (ICS 2011). By known reductions we obtain a data structure for the Hamming space and ... which is the first improvement over the result of Indyk and Motwani (STOC 1998).
Description
Thesis: S.M. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
32
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 43-45).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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