Zobrazeno 1 - 10
of 271
pro vyhledávání: '"KAWAMURA, Masaki"'
Autor:
Kanegae, Ryoto, Kawamura, Masaki
Publikováno v:
J. Phys. Soc. Jpn., Vol.93, No.11, 2024, Article ID: 114004
We theoretically evaluated the performance of our proposed associative watermarking method in which the watermark is not embedded directly into the image. We previously proposed a watermarking method that extends the zero-watermarking model by applyi
Externí odkaz:
http://arxiv.org/abs/2402.05508
Akademický článek
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Autor:
Michikami, Tatsuhiro, Honda, Chikatoshi, Miyamoto, Hideaki, Hirabayashi, Masatoshi, Hagermann, Axel, Irie, Terunori, Nomura, Keita, Ernst, Carolyn M., Kawamura, Masaki, Sugimoto, Kiichi, Tatsumi, Eri, Morota, Tomokatsu, Hirata, Naru, Noguchi, Takaaki, Cho, Yuichiro, Kameda, Shingo, Kouyama, Toru, Yokota, Yasuhiro, Noguchi, Rina, Hayakawa, Masahiko, Hirata, Naoyuki, Honda, Rie, Matsuoka, Moe, Sakatani, Naoya, Suzuki, Hidehiko, Yamada, Manabu, Yoshioka, Kazuo, Sawada, Hirotaka, Hemmi, Ryodo, Kikuchi, Hiroshi, Ogawa, Kazunori, Watanabe, Sei-ichiro, Tanaka, Satoshi, Yoshikawa, Makoto, Tsuda, Yuichi, Sugita, Seiji
Publikováno v:
In Icarus October 2019 331:179-191
Publikováno v:
Phys. Rev. E 99, 062132 (2019)
In cases in which an original image is blind, a decoding method where both the image and the messages can be estimated simultaneously is desirable. We propose a spread spectrum watermarking model with image restoration based on Bayes estimation. We t
Externí odkaz:
http://arxiv.org/abs/1209.4772
Autor:
Yamauchi, Shingo, Kawamura, Masaki
Publikováno v:
Journal of Imaging; Jun2024, Vol. 10 Issue 6, p138, 16p
We investigate a recurrent neural network model with common external and bias inputs that can retrieve branching sequences. Retrieval of memory sequences is one of the most important functions of the brain. A lot of research has been done on neural n
Externí odkaz:
http://arxiv.org/abs/cond-mat/0702427
Autor:
Kawamura, Masaki, Okada, Masato
Publikováno v:
Journal of the Physical Society of Japan, Vol. 75 No. 12, December, 2006, 124603
We investigate dynamics of recurrent neural networks with correlated noise to analyze the noise's effect. The mechanism of correlated firing has been analyzed in various models, but its functional roles have not been discussed in sufficient detail. A
Externí odkaz:
http://arxiv.org/abs/cond-mat/0607557
Publikováno v:
Journal of the Physical Society of Japan, vol.74, no.11, Nov. 2005, pp.2961-2965
We discuss the effects of common synaptic inputs in a recurrent neural network. Because of the effects of these common synaptic inputs, the correlation between neural inputs cannot be ignored, and thus the network exhibits sample dependence. Networks
Externí odkaz:
http://arxiv.org/abs/cond-mat/0510169
Autor:
Utsunomiya, Hiroto, Senoo, Atsuhiro, Matsunaga, Eriko, Takamura, Kazuhisa, Kinoshita, Ryoko, Hayashi, Yasuhiko, Himeno, Hideo, Kondo, Takeshi, Fujimoto, Shinichiro, Yamashina, Akira, Hirano, Masaharu, Ando, Kenji, Yamaji, Kyohei, Inoue, Noriko, Dote, Keigo, Kato, Masaya, Sasaki, Shota, Kawamura, Masaki, Oshima, Kiyotaka, Hirayama, Atsushi, Yoda, Shunichi, Yoshino, Hideaki, Ishiguro, Haruhisa, Doi, Osamu, Fukuda, Shota, Shimada, Kenei, Nao, Tomoko, Tanabe, Kengo, Mochizuki, Teruhito, Kurata, Akira, Morishita, Hiroshi, Matsumoto, Naoya, Ohta, Hiroshi, Yamamoto, Hideya, Kihara, Yasuki, Kitagawa, Toshiro, Ohashi, Norihiko, Kunita, Eiji, Iwanaga, Yoshitaka, Kobuke, Kazuhiro, Miyazaki, Shunichi, Kawasaki, Tomohiro, Daida, Hiroyuki, Fujii, Takashi, Sato, Aki, Okimoto, Tomokazu, Kuribayashi, Sachio
Publikováno v:
In Journal of Cardiovascular Computed Tomography September-October 2018 12(5):436-443
Publikováno v:
J. Phys. A: Math. Gen., 37, 25, 6437-6454 (2004)
It is shown that an exact solution of the transient dynamics of an associative memory model storing an infinite number of limit cycles with l finite steps by means of the path-integral analysis. Assuming the Maxwell construction ansatz, we have succe
Externí odkaz:
http://arxiv.org/abs/cond-mat/0310268