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GETSEL: Gallery entropy for template selection on large datasets

contributor authorDe Marsico, Maria
contributor authorRiccio, Daniel
contributor authorVazquez, Heydi Mendez
contributor authorCalana, Yenisel Plasencia
date accessioned2020-03-12T22:10:00Z
date available2020-03-12T22:10:00Z
date issued2014
identifier other6996289.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1073772?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleGETSEL: Gallery entropy for template selection on large datasets
typeConference Paper
contenttypeMetadata Only
identifier padid8209896
subject keywordselectrochemical devices
subject keywordsn ionic conductivity
subject keywordsn low-power electronics
subject keywordsn memristors
subject keywordsn palladium compounds
subject keywordsn PdH<
subject keywordssub>
subject keywordsx<
subject keywords/sub>
subject keywordsn electronic current
subject keywordsn fast moving electron
subject keywordsn ionic motion
subject keywordsn low-power fully ionic two terminal proton conducting device
subject keywordsn memristive-based device
subject keywordsn neuromorphic computing
subject keywordsn slow moving ions
subject keywordsn synaptic-like reversible short-term depression
subject keywordsn Chemicals
subject keywordsn Contacts
subject keywordsn Educational institutions
subject keywordsn Hydrogen
subject keywordsn Neurotran
identifier doi10.1109/DRC.2014.6872389
journal titleiometrics (IJCB), 2014 IEEE International Joint Conference on
filesize397776
citations0


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