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This package provides code to implement locality-sensitive hashing (LSH)
in an optimum fashion.
There are two pieces. A Python library that implements LSH and a Matlab
routine that calculates the optimum parameters for LSH.
The LSH implementation is based on a tutorial published by IEEE
Malcolm Slaney, Michael Casey, "Locality-Sensitive Hashing
for Finding Nearest Neighbors [Lecture Notes],"
Signal Processing Magazine, IEEE , vol.25, no.2,
pp.128-131, March 2008
doi: 10.1109/MSP.2007.914237
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4472264&isnumber=4472102
and also available at this URL
http://www.slaney.org/malcolm/yahoo/Slaney2008-LSHTutorial.pdf
The optimization algorithm is based on this article, which is currently
under review. Send email to malcolm@ieee.org for a preprint
Malcolm Slaney, Yury Lifshits, Junfeng He, "Optimal
Locality-Sensitive Hashing," Submitted to Proceedings of the
IEEE, Special Issue on Web-Scale Multimedia, Summer 2012.
Send bug reports and/or comments to
malcolm@ieee.org
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