Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Satoru Jimbo"'
Publikováno v:
IEEE Access, Vol 12, Pp 43660-43673 (2024)
Ising machines are domain-specific computers that solve combinatorial optimization problems (COPs). They utilize an Ising model to represent a COP and search for the optimal spin configuration of the Ising model to solve the COP. Most Ising machines
Externí odkaz:
https://doaj.org/article/0235477bab6545cd86a4370e2d8d74cc
Autor:
Satoru JIMBO, Daiki OKONOGI, Kota ANDO, Thiem Van CHU, Jaehoon YU, Masato MOTOMURA, Kazushi KAWAMURA
Publikováno v:
IEICE Transactions on Information and Systems. :2019-2031
Autor:
Naoki Maruyama, Kazuhiro Sato, Yoshio Suzaki, Satoru Jimbo, Isamu Yamashita, Kenji Yamamoto, Kiyohito Yamamoto, Mitsuru Hiura, Yukio Takabayashi
Publikováno v:
Novel Patterning Technologies 2023.
Autor:
Daiki Okonogi, Satoru Jimbo, Kota Ando, Thiem Van Chu, Jaehoon Yu, Masato Motomura, Kazushi Kawamura
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Autor:
Hideyuki Wada, Anshuman Cherala, Mitsuru Hiura, Kenji Yamamoto, Kazuhiro Sato, Yoshio Suzaki, Roy Nilabh K, Satoru Jimbo, Jin Choi, Osamu Morimoto, Satoshi Iino
Publikováno v:
Photomask Technology 2021.
Imprint lithography is an effective and well-known technique for replication of nano-scale features. Nanoimprint lithography (NIL) manufacturing equipment utilizes a patterning technology that involves the field/shot-by-field/shot deposition and expo
Autor:
Fuma Kizu, Osamu Morimoto, Junichi Seki, Sentaro Aihara, Koji Ishibashi, Noburu Takakura, Masahiro Tamura, Yuichiro Oguchi, Toshiya Asano, Satoru Jimbo, Yoichi Matsuoka
Publikováno v:
Novel Patterning Technologies 2021.
Imprint lithography is an effective and well-known technique for replication of nano-scale features. Nanoimprint lithography (NIL) manufacturing equipment utilizes a patterning technology that involves the field-by-field deposition and exposure of a
Publikováno v:
International Workshop on Advanced Image Technology (IWAIT) 2019.
Publikováno v:
GCCE
In this paper, we propose a new method to apply deep learning to bidirectional interframe prediction in video compression. The novelty of the proposed method is to create an interpolated frame by the geometric transformation matrices estimated by CNN