On SVD-free Latent Semantic Indexing for Image Retrieval

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F03%3A00008359" target="_blank" >RIV/61989100:27240/03:00008359 - 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

On SVD-free Latent Semantic Indexing for Image Retrieval

Original language description

Retrieval system based on Latent Semantic Indexing (LSI) will be presented in our paper. LSI is usually based on Single Value Decomposition, which is time-consuming computation. New, fast algorithm for computing the LSI was developed. The algorithm was tested on text and image data collection. Experimental results will be given. The algorithms are intended for practical industrial use within a control and information system operating at coking plant at Nova hut Ostrava. The description of the industrialenvironment is given.

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%2F00%2F1031" target="_blank" >GA201/00/1031: Intelligent retrieval in document information systems</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

ICIT'03

ISBN

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ISSN

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e-ISSN

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Number of pages

6

Pages from-to

466-471

Publisher name

IEEE Computer Society

Place of publication

Orlando

Event location

Hotel Haqbakuk, Maribor, Slovenia

Event date

Jan 1, 2003

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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