Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Kim, Dae Ha"'
Autor:
Im, Hyeon-Tae, Kim, Dae Ha, Kwak, Ryun-Ho, Park, Sung-Min, Kim, Nam-Seok, Park, Kwangsuk, Park, Chang-Soo, Do Kim, Young, Park, Hyung-Ki
Publikováno v:
In Journal of Alloys and Compounds 5 January 2024 970
One of the ways to improve the performance of a target task is to learn the transfer of abundant knowledge of a pre-trained network. However, learning of the pre-trained network requires high computation capability and large-scale labeled dataset. To
Externí odkaz:
http://arxiv.org/abs/1908.11024
Autor:
Im, Hyeon-Tae, Kim, Woo Jin, Kim, Nam-Seok, Kim, Dae Ha, Park, Chang-Soo, Park, Kwangsuk, Kim, Young Do, Park, Hyung-Ki
Publikováno v:
In Journal of Materials Research and Technology May-June 2023 24:8348-8356
Autor:
Im, Hyeon-Tae, Kim, Dae Ha, Seo, Bosung, Park, Jae-Young, Park, Ki Beom, Lee, Da Hye, Mo, Chan Bin, Do Kim, Young, Park, Kwangsuk, Park, Hyung-Ki
Publikováno v:
In Materials Characterization January 2023 195
To solve deep neural network (DNN)'s huge training dataset and its high computation issue, so-called teacher-student (T-S) DNN which transfers the knowledge of T-DNN to S-DNN has been proposed. However, the existing T-S-DNN has limited range of use,
Externí odkaz:
http://arxiv.org/abs/1807.06819
Publikováno v:
In Neurocomputing 1 July 2022 492:421-439
Autor:
Im, Hyeon-Tae, Kim, Dae Ha, Kim, Young Do, Fadonougbo, Julien O., Mo, Chan Bin, Park, Jae-Young, Park, Ki Beom, Kang, Jang-Won, Kang, Hyun-Su, Park, Hyung-Ki
Publikováno v:
In Materials Characterization April 2022 186
Autor:
Kim, Dae Ha, Song, Byung Cheol
Publikováno v:
In Pattern Recognition February 2021 110
Publikováno v:
In Expert Systems With Applications 1 April 2020 143
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