Advanced Algorithms for Pattern Identification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU77267" target="_blank" >RIV/00216305:26220/08:PU77267 - 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
Advanced Algorithms for Pattern Identification
Original language description
Three advanced algorithms for pattern identification are compared in this paper. They are for identification with the aid of the momentum, identification with the aid of syntactic analysis and identification with the aid of neural network algorithm withback-propagation. Pattern identification consists in sorting objects into classes. Class is a subset of objects whose elements have common features from the classification standpoint. Object has a physical character, which in computer vision is most frequently taken to mean a part of segmented image.
Czech name
Pokročilé algoritmy pro identifikaci vzoru
Czech description
Jsou popsány tři pokrokové algoritmy pro identifikaci vzoru.
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
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
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
9th International Conference of Signal Processing
ISBN
978-1-4244-2179-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Technical University Boejing
Place of publication
Boejing
Event location
Boejing
Event date
Oct 26, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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