Non-Expansive Hashing

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 from a large universe may be stored in a memory of size (any , and ), and where retrieval takes operations. We explain how to use non-expan...

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Main Authors: LINIAL, N., SASSON, Ori
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1998
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Online Access:https://ink.library.smu.edu.sg/sis_research/15
http://dx.doi.org/10.1007/pl00009805
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sis_research-10142010-09-22T14:00:36Z Non-Expansive Hashing LINIAL, N. SASSON, Ori 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 from a large universe may be stored in a memory of size (any , and ), and where retrieval takes 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. 1998-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/15 info:doi/10.1007/pl00009805 http://dx.doi.org/10.1007/pl00009805 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Numerical Analysis and Scientific Computing Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Numerical Analysis and Scientific Computing
Software Engineering
spellingShingle Numerical Analysis and Scientific Computing
Software Engineering
LINIAL, N.
SASSON, Ori
Non-Expansive Hashing
description 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 from a large universe may be stored in a memory of size (any , and ), and where retrieval takes 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, N.
SASSON, Ori
author_facet LINIAL, N.
SASSON, Ori
author_sort LINIAL, N.
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 1998
url https://ink.library.smu.edu.sg/sis_research/15
http://dx.doi.org/10.1007/pl00009805
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