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CapsNet on embedded devices in a data scarce scenario

author
Ezechukwu, Dismas Ndubuis
Le Moullec, Yannick
statement of authorship
Dismas Ndubuisi Ezechukwu, Yannick Le Moullec
source
2022 18th Biennial Baltic Electronics Conference (BEC)
publisher
IEEE
year of publication
2022
pages
6 l.
conference name, date
18th Biennial Baltic Electronics Conference (BEC), 04-06 October 2022
conference location
Tallinn, Estonia
url
https://doi.org/10.1109/BEC56180.2022.9935600
subject term
visuaalne kirjaoskus
tehisõpe
manussüsteemid
andmekogud
keyword
CapsNet
CNN
image recognition
machine learning
embedded Systems
ISSN
2382-820X
ISBN
978-1-6654-6295-2
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
Thomas Johann Seebecki elektroonikainstituut
language
inglise
Uurimisrühm
Cognitronic lab-on-a-chip research group
Research laboratory for cognitronics
Ezechukwu, D. N., Le Moullec, Y. CapsNet on embedded devices in a data scarce scenario // 2022 18th Biennial Baltic Electronics Conference (BEC). : IEEE, 2022. 6 l.. https://doi.org/10.1109/BEC56180.2022.9935600