About: Can N-dimensional Convolutional Neural Networks Distinguish Men And Women Better Than Humans Do?

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6707101
Description	A growing availability of high-dimensional object data, e.g., from medicine or forensic analysis motivated us to develop a new variant of classical convolutional neural networks. The introduced model of N-dimensional convolutional neural networks (ND-CNN) enhanced with an enforced internal knowledge representation allows to process general N-dimensional object data while supporting adequate interpretation of the found object characteristics. Experimental results obtained so far for gender classification of 3D face scans confirm an extremely strong power of the proposed neural classifier. The developed ND-CNNs significantly outperformed humans (by 33%) while still allowing for a transparent representation of the face features present and detected in the data. A growing availability of high-dimensional object data, e.g., from medicine or forensic analysis motivated us to develop a new variant of classical convolutional neural networks. The introduced model of N-dimensional convolutional neural networks (ND-CNN) enhanced with an enforced internal knowledge representation allows to process general N-dimensional object data while supporting adequate interpretation of the found object characteristics. Experimental results obtained so far for gender classification of 3D face scans confirm an extremely strong power of the proposed neural classifier. The developed ND-CNNs significantly outperformed humans (by 33%) while still allowing for a transparent representation of the face features present and detected in the data. (en)
Title	Can N-dimensional Convolutional Neural Networks Distinguish Men And Women Better Than Humans Do? Can N-dimensional Convolutional Neural Networks Distinguish Men And Women Better Than Humans Do? (en)
skos:prefLabel	Can N-dimensional Convolutional Neural Networks Distinguish Men And Women Better Than Humans Do? Can N-dimensional Convolutional Neural Networks Distinguish Men And Women Better Than Humans Do? (en)
skos:notation	RIV/00216208:11320/13:10173963!RIV14-GA0-11320___
http://linked.open...avai/predkladatel	Matematicko-fyzikální fakulta
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP103/10/0783), P(GAP202/10/1333)
http://linked.open...iv/cisloPeriodika	August 2013
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Mrázová, Iveta Pihera, Josef Velemínská, Jana
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	64178
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/13:10173963
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	sexual dimorphism; facial scans; classification; internal knowledge representation; convolutional neural networks (en)
http://linked.open.../riv/klicoveSlovo	sexual dimorphism convolutional neural networks classification facial scans internal knowledge representation
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[2FA8A71E019B]
http://linked.open...i/riv/nazevZdroje	Proceedings of The 2013 International Joint Conference on Neural Networks (IJCNN)
http://linked.open...in/vavai/riv/obor	BD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	NoSCoM: Non-Standard Computational Models and Their Applications in Complexity, Linguistics, and Learning Structure and its impact for recognition
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	2013
http://linked.open...iv/tvurceVysledku	Mrázová, Iveta Pihera, Josef Velemínská, Jana
issn	2161-4407
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/IJCNN.2013.6707101
http://localhost/t...ganizacniJednotka	11320

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