Latent Semantic Indexing for Image Retrieval Systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27670%2F03%3A00009120" target="_blank" >RIV/61989100:27670/03:00009120 - 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 conventional retrieval strategies (i.e. vector space, probabilistic and extended Boolean) all have problems 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 only twenty percent of the time.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BA - General mathematics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

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

Article name in the collection

SIAM Conference on Applied Linear Algebra

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

SIAM

Place of publication

Philadelphia

Event location

Williamsburg, U.S.A

Event date

Jul 15, 2003

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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