CNN technology in action

Zarandy, Akos; Espejo Meana, Servando Carlos; Foldesy, Péter; Kek, Laszlo; Liñán Cembrano, Gustavo; Rekeczky, Csaba; Rodríguez Vázquez, Ángel Benito; Roska, Tamás; Szatmári, István; Sziranyi, Tamas; Szolgay, Péter

doi:10.1109/CNNA.2000.876824

Ponencia

dc.creator	Zarandy, Akos	es
dc.creator	Espejo Meana, Servando Carlos	es
dc.creator	Foldesy, Péter	es
dc.creator	Kek, Laszlo	es
dc.creator	Liñán Cembrano, Gustavo	es
dc.creator	Rekeczky, Csaba	es
dc.creator	Rodríguez Vázquez, Ángel Benito	es
dc.creator	Roska, Tamás	es
dc.creator	Szatmári, István	es
dc.creator	Sziranyi, Tamas	es
dc.creator	Szolgay, Péter	es
dc.date.accessioned	2020-02-24T14:53:33Z
dc.date.available	2020-02-24T14:53:33Z
dc.date.issued	2000
dc.identifier.citation	Zarandy, A., Espejo Meana, S.C., Foldesy, P., Kek, L., Liñán Cembrano, G., Rekeczky, C.,...,Szolgay, P. (2000). CNN technology in action. En 6th IEEE International Workshop on Cellular Neural Networks and their Applications (79-81), Catania, Italia: Institute of Electrical and Electronics Engineers.
dc.identifier.isbn	0-7803-6344-2	es
dc.identifier.uri	https://hdl.handle.net/11441/93560
dc.description.abstract	Two Cellular Neural Net Universal Machine (CNN-UM) prototypes are demonstrated in action. The first one is the latest 4096 cell-processor, analog I/O, analogic CNN visual microprocessor, on which online video image processing will be performed. The second one, the 20/spl times/22 binary input-binary output CNN-UM chip is introduced as an ultra high-speed focal plane array processor. In the live demonstration it captures and classifies 10000 frames in a second.	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Institute of Electrical and Electronics Engineers	es
dc.relation.ispartof	6th IEEE International Workshop on Cellular Neural Networks and their Applications (2000), p 79-81
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	CNN technology in action	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/acceptedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo	es
dc.relation.publisherversion	https://doi.org/10.1109/CNNA.2000.876824	es
dc.identifier.doi	10.1109/CNNA.2000.876824	es
idus.format.extent	3 p.	es
dc.publication.initialPage	79	es
dc.publication.endPage	81	es
dc.eventtitle	6th IEEE International Workshop on Cellular Neural Networks and their Applications	es
dc.eventinstitution	Catania, Italia	es

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