Intelligent Information retrieval using numerical linear algebra and applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F06%3A00013741" target="_blank" >RIV/61989100:27240/06:00013741 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Intelligent Information retrieval using numerical linear algebra and applications
Original language description
The article presents a method for automatic image retrieval using the numerical linear algebra. A raster image is represented as a sequence of pixels. Information retrieval is conducted by the Latent Semantic Indexing (LSI) method. The partial Singular Value Decomposition (SVD) is computed effectively using a Lanczos-based iterative method. Numerical experiments using the Matlab (tm) software indicates feasibility of the here presented approach as a tool for automated image retrieval of the real (noise)data without special image preprocessing.
Czech name
Intelligent Information retrieval using numerical linear algebra and applications
Czech description
The article presents a method for automatic image retrieval using the numerical linear algebra. A raster image is represented as a sequence of pixels. Information retrieval is conducted by the Latent Semantic Indexing (LSI) method. The partial Singular Value Decomposition (SVD) is computed effectively using a Lanczos-based iterative method. Numerical experiments using the Matlab (tm) software indicates feasibility of the here presented approach as a tool for automated image retrieval of the real (noise)data without special image preprocessing.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/1ET401940412" target="_blank" >1ET401940412: Dynamic Reliability Quantification and Modelling</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
GIS Ostrava Proceedings
ISSN
1213-2454
e-ISSN
—
Volume of the periodical
3
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
1413
Pages from-to
1-13
UT code for WoS article
—
EID of the result in the Scopus database
—