Zobrazeno 1 - 10
of 2 277
pro vyhledávání: '"Suetake, A."'
Recently, the number of parameters in DNNs has explosively increased, as exemplified by LLMs (Large Language Models), making inference on small-scale computers more difficult. Model compression technology is, therefore, essential for integration into
Externí odkaz:
http://arxiv.org/abs/2403.14999
Autor:
Leo, Simone, Crusoe, Michael R., Rodríguez-Navas, Laura, Sirvent, Raül, Kanitz, Alexander, De Geest, Paul, Wittner, Rudolf, Pireddu, Luca, Garijo, Daniel, Fernández, José M., Colonnelli, Iacopo, Gallo, Matej, Ohta, Tazro, Suetake, Hirotaka, Capella-Gutierrez, Salvador, de Wit, Renske, Kinoshita, Bruno P., Soiland-Reyes, Stian
Publikováno v:
PLoS ONE vol. 19, iss. 9, pp. 1-35, 2024
Recording the provenance of scientific computation results is key to the support of traceability, reproducibility and quality assessment of data products. Several data models have been explored to address this need, providing representations of workf
Externí odkaz:
http://arxiv.org/abs/2312.07852
Training neural networks that require adversarial optimization, such as generative adversarial networks (GANs) and unsupervised domain adaptations (UDAs), suffers from instability. This instability problem comes from the difficulty of the minimax opt
Externí odkaz:
http://arxiv.org/abs/2312.00991
Autor:
Fupeng Huo, Chuantong Chen, Zheng Zhang, Yicheng Zhang, Aiji Suetake, Kazutaka Takeshita, Yoshiji Yamaguchi, Yashima Momose, Keke Zhang, Katsuaki Suganuma
Publikováno v:
Journal of Materials Research and Technology, Vol 31, Iss , Pp 3591-3603 (2024)
Based on the principles of micro-alloying and composite, the graphene reinforced Sn2.5Ag0.7Cu0.1Ce composite solder was designed. Ni nanoparticle-modified reduced graphene oxide (Ni-rGO) was prepared by thermal decomposition method, and the powder-me
Externí odkaz:
https://doaj.org/article/f880565b93654534ac3c6e0d37857dbc
Publikováno v:
Transactions on Machine Learning Research (2024)
Spiking neural networks (SNNs) are energy-efficient neural networks because of their spiking nature. However, as the spike firing rate of SNNs increases, the energy consumption does as well, and thus, the advantage of SNNs diminishes. Here, we tackle
Externí odkaz:
http://arxiv.org/abs/2302.01500
Autor:
Manabu Ishii, Bruno P. Kinoshita, Hirotaka Suetake, Tomoya Tanjo, Takatomo Fujisawa, Takeo Igarashi, Osamu Ogasawara, Tazro Ohta, Masanori Arita, Tsukasa Fukusato, Yuichi Kodama, Atsushi Shimizu, Takeshi Fujino, Tsuyoshi Hachiya
Publikováno v:
F1000Research, Vol 11 (2024)
The increased demand for efficient computation in data analysis encourages researchers in biomedical science to use workflow systems. Workflow systems, or so-called workflow languages, are used for the description and execution of a set of data analy
Externí odkaz:
https://doaj.org/article/c4f0ef6cb69a4ce8beb9bc66cf3f37d8
Autor:
Asami-Noyama, Maki, Hamada, Kazuki, Asai, Yoshiyuki, Abe, Takeshi, Yonezawa, Kosei, Watanabe, Michiya, Hisamoto, Yukari, Murakawa, Keita, Fukatsu, Ayumi, Matsuda, Kazuki, Ohata, Shuichiro, Suetake, Ryo, Murata, Yoriyuki, Yamaji, Yoshikazu, Oishi, Keiji, Edakuni, Nobutaka, Hirano, Tsunahiko, Kakugawa, Tomoyuki, Matsunaga, Kazuto
Publikováno v:
In Respiratory Investigation November 2024 62(6):1124-1131
Autor:
Huo, Fupeng, Chen, Chuantong, Zhang, Zheng, Zhang, Yicheng, Suetake, Aiji, Takeshita, Kazutaka, Yamaguchi, Yoshiji, Momose, Yashima, Suganuma, Katsuaki
Publikováno v:
In Materials Characterization November 2024 217
Autor:
Seiichi Kojima, Noriaki Suetake
Publikováno v:
IEEE Access, Vol 12, Pp 1839-1851 (2024)
When a wide range of luminance levels exist in a scene, an image captured in the scene contains very dark and bright areas with low visibility. Various methods for improving the visibility of such images have been proposed. However, the performance o
Externí odkaz:
https://doaj.org/article/b33f269746844437b34c0e93f5b98760
Gaussian mixture distributions are commonly employed to represent general probability distributions. Despite the importance of using Gaussian mixtures for uncertainty estimation, the entropy of a Gaussian mixture cannot be analytically calculated. No
Externí odkaz:
http://arxiv.org/abs/2202.13059