Latent Semantic Indexing for Image Retrieval Systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F03%3A00008381" target="_blank" >RIV/61989100:27240/03:00008381 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Latent Semantic Indexing for Image Retrieval Systems

Original language description

Matrix computation is used as a basis for information retrieval in the retrieval strategy called Latent Semantic Indexing (LSI. The premise is that more con- ventional retrieval strategies (i.e. vector space, probabilistic and extended Boolean) all haveproblems because they match directly on keywords. Since the same concept can be described using many different keywords, this type of matching is prone to failure. The authors cite a study in which two people used the same word for the same concept onlytwenty percent of the time.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

<a href="/en/project/GA201%2F03%2F1318" target="_blank" >GA201/03/1318: Intelligent analysis of WWW content and structure</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2003

Confidentiality

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

Article name in the collection

SIAM Linear Algebra Proceedings 2003

ISBN

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ISSN

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e-ISSN

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Number of pages

8

Pages from-to

1-8

Publisher name

International Linear Algebra Society (ILAS)

Place of publication

Philadelphia

Event location

Philadelphia

Event date

Jan 1, 2003

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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