Sketches with Unbalanced Bits for Similarity Search

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00095051" target="_blank" >RIV/00216224:14330/17:00095051 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-319-68474-1_4" target="_blank" >http://dx.doi.org/10.1007/978-3-319-68474-1_4</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-68474-1_4" target="_blank" >10.1007/978-3-319-68474-1_4</a>

Result language

angličtina

Original language name

Sketches with Unbalanced Bits for Similarity Search

Original language description

In order to accelerate efficiency of similarity search, compact bit-strings compared by the Hamming distance, so called sketches, have been proposed as a form of dimensionality reduction. To maximize the data compression and, at the same time, minimize the loss of information, sketches typically have the following two properties: (1) each bit divides datasets approximately in halves, i.e. bits are balanced, and (2) individual bits have low pairwise correlations, preferably zero. It has been shown that sketches with such properties are minimal with respect to the retained information. However, they are very difficult to index due to the dimensionality curse -- the range of distances is rather narrow and the distance to the nearest neighbour is high. We suggest to use sketches with unbalanced bits and we analyse their properties both analytically and experimentally. We show that such sketches can achieve practically the same quality of similarity search and they are much easier to index thanks to the decrease of distances to the nearest neighbours.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Similarity Search and Applications: 10th International Conference, SISAP 2017, Munich, Germany, October 4-6, 2017, Proceedings

ISBN

9783319684741

ISSN

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e-ISSN

—

Number of pages

11

Pages from-to

53-63

Publisher name

Springer International Publishing

Place of publication

Cham

Event location

Mnichov, Německo

Event date

Oct 4, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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