Image Classification with GHNN-Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10059812" target="_blank" >RIV/00216208:11320/10:10059812 - 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
Image Classification with GHNN-Networks
Original language description
The paper introduces a new model of the so-called Growing Hierarchical Neural Networks (GHNN) applicable to image classification without requiring any special domain-specific pre-processing. Two experimental case studies involve face and hand-written digit recognition.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
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 2010 3rd International Conference on Machine Vision (ICMV 2010)
ISBN
978-1-4244-8888-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
IEEE
Place of publication
New York, USA
Event location
Hong Kong, (China)
Event date
Dec 28, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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