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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F10%3A10059812%21RIV11-GA0-11320___
rdf:type
skos:Concept n19:Vysledek
dcterms: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. 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.
dcterms:title
Image Classification with GHNN-Networks Image Classification with GHNN-Networks
skos:prefLabel
Image Classification with GHNN-Networks Image Classification with GHNN-Networks
skos:notation
RIV/00216208:11320/10:10059812!RIV11-GA0-11320___
n3:aktivita
n11:S n11:P n11:Z
n3:aktivity
P(GAP103/10/0783), P(GAP202/10/1333), P(GD201/09/H057), S, Z(MSM0021620838)
n3:dodaniDat
n12:2011
n3:domaciTvurceVysledku
n14:2240726 n14:6046797
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n18:D
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
262861
n3:idVysledku
RIV/00216208:11320/10:10059812
n3:jazykVysledku
n13:eng
n3:klicovaSlova
face recognition; growing neural networks; classification; image processing
n3:klicoveSlovo
n5:image%20processing n5:growing%20neural%20networks n5:face%20recognition n5:classification
n3:kontrolniKodProRIV
[55B115CB10CD]
n3:mistoKonaniAkce
Hong Kong, (China)
n3:mistoVydani
New York, USA
n3:nazevZdroje
Proceedings of 2010 3rd International Conference on Machine Vision (ICMV 2010)
n3:obor
n21:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n8:GAP103%2F10%2F0783 n8:GD201%2F09%2FH057 n8:GAP202%2F10%2F1333
n3:rokUplatneniVysledku
n12:2010
n3:tvurceVysledku
Kukačka, Marek Mrázová, Iveta
n3:typAkce
n6:WRD
n3:zahajeniAkce
2010-12-28+01:00
n3:zamer
n7:MSM0021620838
s:numberOfPages
5
n10:hasPublisher
IEEE
n17:isbn
978-1-4244-8888-9
n20:organizacniJednotka
11320