Recycling: Semi-Supervised Learning With Noisy Labels in Deep Neural Networks

Autor: Kyeongbo Kong, Junggi Lee, Youngchul Kwak, Minsung Kang, Seong Gyun Kim, Woo-Jin Song

Publikováno v: IEEE Access, Vol 7, Pp 66998-67005 (2019)

Nowadays, as noisy labels, also known as erroneous labels, are becoming increasingly ubiquitous in daily life, it is of great importance to be able to learn from them. This paper efficiently uses semi-supervised learning to highlight a method for uti

Externí odkaz: https://doaj.org/article/a55e14195b9f4569a2704cf3e56b96d6

Penalty based robust learning with noisy labels

Autor: Kyeongbo Kong, Junggi Lee, Youngchul Kwak, Young-Rae Cho, Seong-Eun Kim, Woo-Jin Song

Publikováno v: Neurocomputing. 489:112-127

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::008ce756ed37be1d5232dd2b5a2d24ec
https://doi.org/10.1016/j.neucom.2022.02.030

How to Estimate Global Motion Non-Iteratively From a Coarsely Sampled Motion Vector Field

Autor: Junggi Lee, Kyeongbo Kong, Seung-Jun Shin, Woo-Jin Song

Publikováno v: IEEE Transactions on Circuits and Systems for Video Technology. 29:3729-3742

Nowadays, as the amount of video content increases, the importance of global motion estimation is increasing more and more. This paper considers motion estimation within a compressed domain and presents a robust non-iterative global motion estimation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f211251c32ed1985a60a8a4201906589
https://doi.org/10.1109/tcsvt.2018.2882513

Recycling: Semi-Supervised Learning With Noisy Labels in Deep Neural Networks

Autor: Junggi Lee, Kyeongbo Kong, Seong Gyun Kim, Woo-Jin Song, Minsung Kang, Youngchul Kwak

Publikováno v: IEEE Access, Vol 7, Pp 66998-67005 (2019)

Nowadays, as noisy labels, also known as erroneous labels, are becoming increasingly ubiquitous in daily life, it is of great importance to be able to learn from them. This paper efficiently uses semi-supervised learning to highlight a method for uti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::049a4854638fefafd42e5d0eafcbd1bb
https://doi.org/10.1109/access.2019.2918794

Estimation of Rotor Position and Speed of Permanent Magnet Synchronous Motors With Guaranteed Stability

Autor: Kwanghee Nam, Romeo Ortega, Junggi Lee, Laurent Praly, Alessandro Astolfi

Publikováno v: IEEE Transactions on Control Systems Technology
IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers, 2011, 19 (3), pp.601-614. ⟨10.1109/TCST.2010.2047396⟩

International audience; The control algorithms used in high performance ac drives require the knowledge of rotor position and, in the case of speed regulation, also of speed. Since in many applications rotational transducers cannot be installed, thei

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9a70095b5811057128cf6a8001686d1
https://doi.org/10.1109/tcst.2010.2047396