Self-organization for the Detection of Local Features
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F09%3A00206853" target="_blank" >RIV/00216208:11320/09:00206853 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/09:10080763
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Self-organization for the Detection of Local Features
Original language description
The article compares several models of self-organizing neural networks with respect to their application for detection of local features in data. Emphasis of the article is on the growing models of self-organizing networks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GD201%2F09%2FH057" target="_blank" >GD201/09/H057: Res Informatica</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 18th Annual Conference of Doctoral Students - WDS 2009
ISBN
978-80-7378-101-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Matfyzpress
Place of publication
Prague
Event location
Prague
Event date
Jan 1, 2009
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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