On SVD-free Latent Semantic Indexing for Image Retrieval for application in a hard industrial environment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27670%2F03%3A00009121" target="_blank" >RIV/61989100:27670/03:00009121 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
On SVD-free Latent Semantic Indexing for Image Retrieval for application in a hard industrial environment
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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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceeding of IEEE International Conference on Industrial Technology - ICIT 2003
ISBN
0-7803-7853-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
466-471
Publisher name
CIKLUS d.o.o.
Place of publication
Domžale
Event location
Maribor, Slovinsko
Event date
Dec 10, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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