GETSEL: Gallery entropy for template selection on large datasets
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سال
: 2014شناسه الکترونیک: 10.1109/DRC.2014.6872389
کلیدواژه(گان): electrochemical devices,n ionic conductivity,n low-power electronics,n memristors,n palladium compounds,n PdH<,sub>,x<,/sub>,n electronic current,n fast moving electron,n ionic motion,n low-power fully ionic two terminal proton conducting device,n memristive-based device,n neuromorphic computing,n slow moving ions,n synaptic-like reversible short-term depression,n Chemicals,n Contacts,n Educational institutions,n Hydrogen,n Neurotran
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GETSEL: Gallery entropy for template selection on large datasets
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| contributor author | De Marsico, Maria | |
| contributor author | Riccio, Daniel | |
| contributor author | Vazquez, Heydi Mendez | |
| contributor author | Calana, Yenisel Plasencia | |
| date accessioned | 2020-03-12T22:10:00Z | |
| date available | 2020-03-12T22:10:00Z | |
| date issued | 2014 | |
| identifier other | 6996289.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1073772?locale-attribute=fa | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | GETSEL: Gallery entropy for template selection on large datasets | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8209896 | |
| subject keywords | electrochemical devices | |
| subject keywords | n ionic conductivity | |
| subject keywords | n low-power electronics | |
| subject keywords | n memristors | |
| subject keywords | n palladium compounds | |
| subject keywords | n PdH< | |
| subject keywords | sub> | |
| subject keywords | x< | |
| subject keywords | /sub> | |
| subject keywords | n electronic current | |
| subject keywords | n fast moving electron | |
| subject keywords | n ionic motion | |
| subject keywords | n low-power fully ionic two terminal proton conducting device | |
| subject keywords | n memristive-based device | |
| subject keywords | n neuromorphic computing | |
| subject keywords | n slow moving ions | |
| subject keywords | n synaptic-like reversible short-term depression | |
| subject keywords | n Chemicals | |
| subject keywords | n Contacts | |
| subject keywords | n Educational institutions | |
| subject keywords | n Hydrogen | |
| subject keywords | n Neurotran | |
| identifier doi | 10.1109/DRC.2014.6872389 | |
| journal title | iometrics (IJCB), 2014 IEEE International Joint Conference on | |
| filesize | 397776 | |
| citations | 0 |