Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Kazushi Mimura"'
Autor:
Mastiyage Don Sudeera Hasaranga Gunathilaka, Satoshi Kako, Yoshitaka Inui, Kazushi Mimura, Masato Okada, Yoshihisa Yamamoto, Toru Aonishi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Coherent Ising machine (CIM) is a network of optical parametric oscillators that can solve large-scale combinatorial optimisation problems by finding the ground state of an Ising Hamiltonian. As a practical application of CIM, Aonishi et al.
Externí odkaz:
https://doaj.org/article/01ab5f3ccd53475f997906905e5d4759
Publikováno v:
Biology Open, Vol 10, Iss 3 (2021)
The cell's movement and morphological change are two interrelated cellular processes. An integrated analysis is needed to explore the relationship between them. However, it has been challenging to investigate them as a whole. The cell's trajectory ca
Externí odkaz:
https://doaj.org/article/f5434419e31a48f9979e275b89bbf3e9
Autor:
Ryuta Sasaki, Shunki Nakagawa, Kazushi Mimura, Masato Okada, Toru Aonishi, Yoshihisa Yamamoto
Publikováno v:
Journal of the Physical Society of Japan. 92
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b42403afee9349824d6faaaf377c44a
https://doi.org/10.7566/jpsj.92.044002
https://doi.org/10.7566/jpsj.92.044002
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cc0db5010754fc98617120c45631f8c
https://doi.org/10.23919/eusipco54536.2021.9616196
https://doi.org/10.23919/eusipco54536.2021.9616196
Publikováno v:
Biology Open, Vol 10, Iss 3 (2021)
Biology Open
article-version (VoR) Version of Record
Biology Open
article-version (VoR) Version of Record
The cell's movement and morphological change are two interrelated cellular processes. An integrated analysis is needed to explore the relationship between them. However, it has been challenging to investigate them as a whole. The cell's trajectory ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb2d0e5cff07f20b10d7745b5129614e
https://doi.org/10.1242/bio.058512
https://doi.org/10.1242/bio.058512
Publikováno v:
Quantum Science and Technology. 7:035013
L0-regularization-based compressed sensing (L0-RBCS) has the potential to outperform L1-regularization-based compressed sensing (L1-RBCS), but the optimization in L0-RBCS is difficult because it is a combinatorial optimization problem. To perform opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89c110fafd6019592256b05b683b1230
https://doi.org/10.1088/2058-9565/ac6f19
https://doi.org/10.1088/2058-9565/ac6f19
Autor:
Kazushi Mimura, Jun'ichi Takeuchi
Publikováno v:
ITW
For linear system models, the approximate massage passing (AMP) is one of the effective iterative sparse recovery algorithms. However, depending on a measurement matrix ensemble, AMP may face convergence issues. Some algorithms are proposed so far to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c70f8f7f78a74639e71064b324329e7c
https://doi.org/10.1109/itw44776.2019.8989237
https://doi.org/10.1109/itw44776.2019.8989237
Autor:
Kazushi MIMURA
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1324-1324
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcc0b591812fa7a4c882dba4e01c46e9
https://doi.org/10.1587/transfun.2020taf0001
https://doi.org/10.1587/transfun.2020taf0001
Publikováno v:
SPML
Regarding shape matching, we present a novel method of determining a correspondence between shapes that is applicable to existing local descriptors and somewhat enhances them. In our method, we determine the correspondence of a focusing point of a sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25384d34ba5387d20c6975671ba54020
https://doi.org/10.1145/3297067.3297077
https://doi.org/10.1145/3297067.3297077
Publikováno v:
ISITA
We discuss typical ‘potential’ performance of sparse signal recovery in the case where iterative recovery algorithms fail to converge. We especially focus on sparse signal recovery from a linear measurement whose measurement matrix has large cohe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::961a6d6d740fd33a5fcb99ccff3686da
https://doi.org/10.23919/isita.2018.8664228
https://doi.org/10.23919/isita.2018.8664228