Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Chungheon Yi"'
Publikováno v:
IEEE Access, Vol 11, Pp 121603-121616 (2023)
In recent years, deep learning has attracted considerable attention owing to its ability to address complex problems in various fields. One notable problem is metric space learning, which is aimed at learning feature embeddings through the calculatio
Externí odkaz:
https://doaj.org/article/1f2e595dae464ca2857690790701af5b
Publikováno v:
Sensors, Vol 19, Iss 16, p 3622 (2019)
As smartphone technology advances and its market penetration increases, indoor positioning for smartphone users is becoming an increasingly important issue. Floor localization is especially critical to indoor positioning techniques. Numerous research
Externí odkaz:
https://doaj.org/article/150442c5893243f3b170cbde8835f37b
Publikováno v:
Journal of Korean Institute of Intelligent Systems. 29:488-493
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf7710d1bd4fed30a7fca0382a5d5f2d
https://doi.org/10.5391/jkiis.2019.29.6.488
https://doi.org/10.5391/jkiis.2019.29.6.488
Publikováno v:
CogMI
We propose a new perceptron, called functional perceptron, which consists of a multi-dimensional activation function capable of learning a specific function. The functional perceptron does not use the traditional activation functions such as Sigmoid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6be549b829b7543af33084a75bef259
https://doi.org/10.1109/cogmi50398.2020.00012
https://doi.org/10.1109/cogmi50398.2020.00012
Publikováno v:
KIISE Transactions on Computing Practices. 24:614-622
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f39aee6d46310ca8b2c687f5bd32871b
https://doi.org/10.5626/ktcp.2018.24.11.614
https://doi.org/10.5626/ktcp.2018.24.11.614
Publikováno v:
Sensors
Volume 19
Issue 16
Sensors, Vol 19, Iss 16, p 3622 (2019)
Sensors (Basel, Switzerland)
Volume 19
Issue 16
Sensors, Vol 19, Iss 16, p 3622 (2019)
Sensors (Basel, Switzerland)
As smartphone technology advances and its market penetration increases, indoor positioning for smartphone users is becoming an increasingly important issue. Floor localization is especially critical to indoor positioning techniques. Numerous research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b92c5dd4d2806feb4a62ca89e844def2
Publikováno v:
CLOUD
This paper presents a cloud-based positioning method that leverages visualized signal images through visual analytics and deep learning. At a mobile client, such as a smart phone, this approach transforms multidimensional signals captured at a known
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8cc3f091c75c10608af81a7f7b80636
https://doi.org/10.1109/cloud.2017.24
https://doi.org/10.1109/cloud.2017.24