Non-Expansive Hashing

In a non-expansive hashing scheme, similar inputs are stored in memory locations which are close. We develop a non-expansive hashing scheme wherein any set of size O (R1– C) from a large universe may be stored in a memory of size R (any e > 0, and R > Ro(c)), and where retrieval takes O(1) ope...

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Main Authors: LINIAL, Nathan, SASSON, Ori
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1996
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Online Access:https://ink.library.smu.edu.sg/sis_research/1250
http://dx.doi.org/10.1145/237814.237999
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-22492014-03-10T05:44:07Z Non-Expansive Hashing LINIAL, Nathan SASSON, Ori In a non-expansive hashing scheme, similar inputs are stored in memory locations which are close. We develop a non-expansive hashing scheme wherein any set of size O (R1– C) from a large universe may be stored in a memory of size R (any e > 0, and R > Ro(c)), and where retrieval takes O(1) operations. We explain how to use non-expansive hashing schemes for efficient storage and retrieval of noisy data. A dynamic version of this hashing scheme is presented as well. 1996-10-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/1250 info:doi/10.1145/237814.237999 http://dx.doi.org/10.1145/237814.237999 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Hash-table representations data storage representations Information storage systems Computer Sciences Systems Architecture
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Hash-table representations
data storage representations
Information storage systems
Computer Sciences
Systems Architecture
spellingShingle Hash-table representations
data storage representations
Information storage systems
Computer Sciences
Systems Architecture
LINIAL, Nathan
SASSON, Ori
Non-Expansive Hashing
description In a non-expansive hashing scheme, similar inputs are stored in memory locations which are close. We develop a non-expansive hashing scheme wherein any set of size O (R1– C) from a large universe may be stored in a memory of size R (any e > 0, and R > Ro(c)), and where retrieval takes O(1) operations. We explain how to use non-expansive hashing schemes for efficient storage and retrieval of noisy data. A dynamic version of this hashing scheme is presented as well.
format text
author LINIAL, Nathan
SASSON, Ori
author_facet LINIAL, Nathan
SASSON, Ori
author_sort LINIAL, Nathan
title Non-Expansive Hashing
title_short Non-Expansive Hashing
title_full Non-Expansive Hashing
title_fullStr Non-Expansive Hashing
title_full_unstemmed Non-Expansive Hashing
title_sort non-expansive hashing
publisher Institutional Knowledge at Singapore Management University
publishDate 1996
url https://ink.library.smu.edu.sg/sis_research/1250
http://dx.doi.org/10.1145/237814.237999
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