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1,478 results on '"Ono, Satoshi"'

1. Neural Radiance Field Image Refinement through End-to-End Sampling Point Optimization

Author

Ohta, Kazuhiro and Ono, Satoshi

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Neural Radiance Field (NeRF), capable of synthesizing high-quality novel viewpoint images, suffers from issues like artifact occurrence due to its fixed sampling points during rendering. This study proposes a method that optimizes sampling points to reduce artifacts and produce more detailed images.

Published
2024

2. EvolBA: Evolutionary Boundary Attack under Hard-label Black Box condition

Author

Tajima, Ayane and Ono, Satoshi

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Research has shown that deep neural networks (DNNs) have vulnerabilities that can lead to the misrecognition of Adversarial Examples (AEs) with specifically designed perturbations. Various adversarial attack methods have been proposed to detect vulnerabilities under hard-label black box (HL-BB) conditions in the absence of loss gradients and confidence scores.However, these methods fall into local solutions because they search only local regions of the search space. Therefore, this study proposes an adversarial attack method named EvolBA to generate AEs using Covariance Matrix Adaptation Evolution Strategy (CMA-ES) under the HL-BB condition, where only a class label predicted by the target DNN model is available. Inspired by formula-driven supervised learning, the proposed method introduces domain-independent operators for the initialization process and a jump that enhances search exploration. Experimental results confirmed that the proposed method could determine AEs with smaller perturbations than previous methods in images where the previous methods have difficulty.

Published
2024

3. Local QSAR based on quantum chemistry calculations for the stability of nitrenium ions to reduce false positive outcomes from standard QSAR systems for the mutagenicity of primary aromatic amines

Author

Muto, Shigeharu, Furuhama, Ayako, Yamamoto, Mika, Otagiri, Yasuteru, Koyama, Naoki, Hitaoka, Seiji, Nagato, Yusuke, Ouchi, Hirofumi, Ogawa, Masahiro, Shikano, Kisako, Yamada, Katsuya, Ono, Satoshi, Hoki, Minami, Ishizuka, Fumiya, Hagio, Soichiro, Takeshita, Chiaki, Omori, Hisayoshi, Hashimoto, Kiyohiro, Chikura, Satsuki, Honma, Masamitsu, Sugiyama, Kei-ichi, and Mishima, Masayuki

Published
2024
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5. AOBA: The Most Powerful Vector Supercomputer in the World

Author

Takizawa, Hiroyuki, Takahashi, Keichi, Shimomura, Yoichi, Egawa, Ryusuke, Oizumi, Kenji, Ono, Satoshi, Yamashita, Takeshi, Saito, Atsuko, Resch, Michael M., editor, Gebert, Johannes, editor, Kobayashi, Hiroaki, editor, Takizawa, Hiroyuki, editor, and Bez, Wolfgang, editor

Published
2024
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8. A New Amino Acid for Improving Permeability and Solubility in Macrocyclic Peptides through Side Chain-to-Backbone Hydrogen Bonding

Author

Taechalertpaisarn, Jaru, Ono, Satoshi, Okada, Okimasa, Johnstone, Timothy C, and Lokey, R Scott

Subjects
Amides, Amino Acids, Hydrogen Bonding, Peptides, Cyclic, Permeability, Solubility, Medicinal and Biomolecular Chemistry, Organic Chemistry, Pharmacology and Pharmaceutical Sciences, Medicinal & Biomolecular Chemistry
Abstract

Despite the notoriously poor membrane permeability of peptides, many cyclic peptide natural products show high passive membrane permeability and potently inhibit a variety of "undruggable" intracellular targets. A major impediment to the design of cyclic peptides with good permeability is the high desolvation energy associated with the peptide backbone amide NH groups. While several strategies have been proposed to mitigate this deleterious effect, only few studies have used polar side chains to sequester backbone NH groups. We investigated the ability of N,N-pyrrolidinylglutamine (Pye), whose side chain contains a powerful hydrogen-bond-accepting C═O amide group but no hydrogen-bond donors, to sequester exposed backbone NH groups in a series of cyclic hexapeptide diastereomers. Analyses revealed that specific Leu-to-Pye substitutions conferred dramatic improvements in aqueous solubility and permeability in a scaffold- and position-dependent manner. Therefore, this approach offers a complementary tool for improving membrane permeability and solubility in cyclic peptides.

Published
2022

10. Black-box Adversarial Attacks on Monocular Depth Estimation Using Evolutionary Multi-objective Optimization

Author

Daimo, Renya, Ono, Satoshi, and Suzuki, Takahiro

Subjects
Computer Science - Computer Vision and Pattern Recognition, I.2.10, I.2.m
Abstract

This paper proposes an adversarial attack method to deep neural networks (DNNs) for monocular depth estimation, i.e., estimating the depth from a single image. Single image depth estimation has improved drastically in recent years due to the development of DNNs. However, vulnerabilities of DNNs for image classification have been revealed by adversarial attacks, and DNNs for monocular depth estimation could contain similar vulnerabilities. Therefore, research on vulnerabilities of DNNs for monocular depth estimation has spread rapidly, but many of them assume white-box conditions where inside information of DNNs is available, or are transferability-based black-box attacks that require a substitute DNN model and a training dataset. Utilizing Evolutionary Multi-objective Optimization, the proposed method in this paper analyzes DNNs under the black-box condition where only output depth maps are available. In addition, the proposed method does not require a substitute DNN that has a similar architecture to the target DNN nor any knowledge about training data used to train the target model. Experimental results showed that the proposed method succeeded in attacking two DNN-based methods that were trained with indoor and outdoor scenes respectively.

Published
2020
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11. Adjust-free adversarial example generation in speech recognition using evolutionary multi-objective optimization under black-box condition

Author

Ishida, Shoma and Ono, Satoshi

Subjects
Computer Science - Sound, Computer Science - Computation and Language, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

This paper proposes a black-box adversarial attack method to automatic speech recognition systems. Some studies have attempted to attack neural networks for speech recognition; however, these methods did not consider the robustness of generated adversarial examples against timing lag with a target speech. The proposed method in this paper adopts Evolutionary Multi-objective Optimization (EMO)that allows it generating robust adversarial examples under black-box scenario. Experimental results showed that the proposed method successfully generated adjust-free adversarial examples, which are sufficiently robust against timing lag so that an attacker does not need to take the timing of playing it against the target speech.

Published
2020
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12. Depth estimation from 4D light field videos

Author

Kinoshita, Takahiro and Ono, Satoshi

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Depth (disparity) estimation from 4D Light Field (LF) images has been a research topic for the last couple of years. Most studies have focused on depth estimation from static 4D LF images while not considering temporal information, i.e., LF videos. This paper proposes an end-to-end neural network architecture for depth estimation from 4D LF videos. This study also constructs a medium-scale synthetic 4D LF video dataset that can be used for training deep learning-based methods. Experimental results using synthetic and real-world 4D LF videos show that temporal information contributes to the improvement of depth estimation accuracy in noisy regions. Dataset and code is available at: https://mediaeng-lfv.github.io/LFV_Disparity_Estimation, Comment: 6 pages, 6 figures, International Workshop on Advanced Image Technology (IWAIT) 2021

Published
2020
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13. Adversarial Example Generation using Evolutionary Multi-objective Optimization

Author

Suzuki, Takahiro, Takeshita, Shingo, and Ono, Satoshi

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Cryptography and Security, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning
Abstract

This paper proposes Evolutionary Multi-objective Optimization (EMO)-based Adversarial Example (AE) design method that performs under black-box setting. Previous gradient-based methods produce AEs by changing all pixels of a target image, while previous EC-based method changes small number of pixels to produce AEs. Thanks to EMO's property of population based-search, the proposed method produces various types of AEs involving ones locating between AEs generated by the previous two approaches, which helps to know the characteristics of a target model or to know unknown attack patterns. Experimental results showed the potential of the proposed method, e.g., it can generate robust AEs and, with the aid of DCT-based perturbation pattern generation, AEs for high resolution images.

Published
2019
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14. Phase II Prospective Study of Trastuzumab in Combination with S-1 and Oxaliplatin (SOX100) Therapy for HER2-Positive Advanced Gastric Cancer

Author

Mori, Yoshinori, Kataoka, Hiromi, Ebi, Masahide, Adachi, Kazunori, Yamaguchi, Yoshiharu, Hayashi, Noriyuki, Hirata, Yoshikazu, Sobue, Satoshi, Ishihara, Ryo, Suzuki, Yuta, Mizushima, Takashi, Inoue, Yusuke, Hasegawa, Izumi, Ono, Satoshi, Hirano, Atsuyuki, Kimura, Yoshihide, Seno, Kyoji, Ozeki, Keiji, Shimura, Takaya, and Kubota, Eiji

Published
2022
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16. Temporal shape super-resolution by intra-frame motion encoding using high-fps structured light

Author

Shiba, Yuki, Ono, Satoshi, Furukawa, Ryo, Hiura, Shinsaku, and Kawasaki, Hiroshi

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

One of the solutions of depth imaging of moving scene is to project a static pattern on the object and use just a single image for reconstruction. However, if the motion of the object is too fast with respect to the exposure time of the image sensor, patterns on the captured image are blurred and reconstruction fails. In this paper, we impose multiple projection patterns into each single captured image to realize temporal super resolution of the depth image sequences. With our method, multiple patterns are projected onto the object with higher fps than possible with a camera. In this case, the observed pattern varies depending on the depth and motion of the object, so we can extract temporal information of the scene from each single image. The decoding process is realized using a learning-based approach where no geometric calibration is needed. Experiments confirm the effectiveness of our method where sequential shapes are reconstructed from a single image. Both quantitative evaluations and comparisons with recent techniques were also conducted., Comment: 9 pages, Published at the International Conference on Computer Vision (ICCV 2017)

Published
2017

20. Magnifying endoscopy with narrow-band imaging is useful in differentiating gastric cancer from matched adenoma in white light imaging

Author

Tamura, Naoki, Sakaguchi, Yoshiki, Furutani, Wakiko, Matsui, Maki, Nagao, Sayaka, Sakuma, Nobuyuki, Fukagawa, Kazushi, Miura, Yuko, Mizutani, Hiroya, Ohki, Daisuke, Kataoka, Yosuke, Saito, Itaru, Ono, Masayoshi, Minatsuki, Chihiro, Tsuji, Yosuke, Ono, Satoshi, Kodashima, Shinya, Abe, Hiroyuki, Ushiku, Tetsuo, Yamamichi, Nobutake, Koike, Kazuhiko, and Fujishiro, Mitsuhiro

Published
2022
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24. Optimizing Quantitative and Qualitative Objectives by User-System Cooperative Evolutionary Computation for Image Processing Filter Design

Author

Ono, Satoshi, Maeda, Hiroshi, Sakimoto, Kiyomasa, Nakayama, Shigeru, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ane, Bernadetta Kwintiana, editor, Cakravastia, Andi, editor, and Diawati, Lucia, editor

Published
2019
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25. A Coded Aperture for Watermark Extraction from Defocused Images

Author

Hamasaki, Hiroki, Takeshita, Shingo, Nakai, Kentaro, Sonoda, Toshiki, Kawasaki, Hiroshi, Nagahara, Hajime, Ono, Satoshi, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Jawahar, C.V., editor, Li, Hongdong, editor, Mori, Greg, editor, and Schindler, Konrad, editor

Published
2019
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26. Membrane Permeability in a Large Macrocyclic Peptide Driven by a Saddle-Shaped Conformation

Author

Faris, Justin H., primary, Adaligil, Emel, additional, Popovych, Nataliya, additional, Ono, Satoshi, additional, Takahashi, Mifune, additional, Nguyen, Huy, additional, Plise, Emile, additional, Taechalertpaisarn, Jaru, additional, Lee, Hsiau-Wei, additional, Koehler, Michael F. T., additional, Cunningham, Christian N., additional, and Lokey, R. Scott, additional

Published
2024
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29. The first management using intubation of a nasogastric tube with Gastrografin enterography or long tube for non-strangulated acute small bowel obstruction: a multicenter, randomized controlled trial

Author

Katano, Takahito, Shimura, Takaya, Nishie, Hirotada, Iwai, Tomohiro, Itoh, Keisuke, Ebi, Masahide, Mizuno, Yusuke, Togawa, Shozo, Shibata, Shunsuke, Yamada, Tomonori, Mizushima, Takashi, Inagaki, Yusuke, Kitagawa, Mika, Nojiri, Yu, Tanaka, Yoshito, Okamoto, Yasuyuki, Sugiura, Miyuki, Matoya, Sho, Nagura, Yoshihito, Inagaki, Yuki, Koguchi, Hiroki, Ono, Satoshi, Ozeki, Keiji, Hayashi, Noriyuki, Takiguchi, Shuji, and Kataoka, Hiromi

Published
2020
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31. The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020)

Author

Egi, Moritoki, Ogura, Hiroshi, Yatabe, Tomoaki, Atagi, Kazuaki, Inoue, Shigeaki, Iba, Toshiaki, Kakihana, Yasuyuki, Kawasaki, Tatsuya, Kushimoto, Shigeki, Kuroda, Yasuhiro, Kotani, Joji, Shime, Nobuaki, Taniguchi, Takumi, Tsuruta, Ryosuke, Doi, Kent, Doi, Matsuyuki, Nakada, Taka-aki, Nakane, Masaki, Fujishima, Seitaro, Hosokawa, Naoto, Masuda, Yoshiki, Matsushima, Asako, Matsuda, Naoyuki, Yamakawa, Kazuma, Hara, Yoshitaka, Sakuraya, Masaaki, Ohshimo, Shinichiro, Aoki, Yoshitaka, Inada, Mai, Umemura, Yutaka, Kawai, Yusuke, Kondo, Yutaka, Saito, Hiroki, Taito, Shunsuke, Takeda, Chikashi, Terayama, Takero, Tohira, Hideo, Hashimoto, Hideki, Hayashida, Kei, Hifumi, Toru, Hirose, Tomoya, Fukuda, Tatsuma, Fujii, Tomoko, Miura, Shinya, Yasuda, Hideto, Abe, Toshikazu, Andoh, Kohkichi, Iida, Yuki, Ishihara, Tadashi, Ide, Kentaro, Ito, Kenta, Ito, Yusuke, Inata, Yu, Utsunomiya, Akemi, Unoki, Takeshi, Endo, Koji, Ouchi, Akira, Ozaki, Masayuki, Ono, Satoshi, Katsura, Morihiro, Kawaguchi, Atsushi, Kawamura, Yusuke, Kudo, Daisuke, Kubo, Kenji, Kurahashi, Kiyoyasu, Sakuramoto, Hideaki, Shimoyama, Akira, Suzuki, Takeshi, Sekine, Shusuke, Sekino, Motohiro, Takahashi, Nozomi, Takahashi, Sei, Takahashi, Hiroshi, Tagami, Takashi, Tajima, Goro, Tatsumi, Hiroomi, Tani, Masanori, Tsuchiya, Asuka, Tsutsumi, Yusuke, Naito, Takaki, Nagae, Masaharu, Nagasawa, Ichiro, Nakamura, Kensuke, Nishimura, Tetsuro, Nunomiya, Shin, Norisue, Yasuhiro, Hashimoto, Satoru, Hasegawa, Daisuke, Hatakeyama, Junji, Hara, Naoki, Higashibeppu, Naoki, Furushima, Nana, Furusono, Hirotaka, Matsuishi, Yujiro, Matsuyama, Tasuku, Minematsu, Yusuke, Miyashita, Ryoichi, Miyatake, Yuji, Moriyasu, Megumi, Yamada, Toru, Yamada, Hiroyuki, Yamamoto, Ryo, Yoshida, Takeshi, Yoshida, Yuhei, Yoshimura, Jumpei, Yotsumoto, Ryuichi, Yonekura, Hiroshi, Wada, Takeshi, Watanabe, Eizo, Aoki, Makoto, Asai, Hideki, Abe, Takakuni, Igarashi, Yutaka, Iguchi, Naoya, Ishikawa, Masami, Ishimaru, Go, Isokawa, Shutaro, Itakura, Ryuta, Imahase, Hisashi, Imura, Haruki, Irinoda, Takashi, Uehara, Kenji, Ushio, Noritaka, Umegaki, Takeshi, Egawa, Yuko, Enomoto, Yuki, Ota, Kohei, Ohchi, Yoshifumi, Ohno, Takanori, Ohbe, Hiroyuki, Oka, Kazuyuki, Okada, Nobunaga, Okada, Yohei, Okano, Hiromu, Okamoto, Jun, Okuda, Hiroshi, Ogura, Takayuki, Onodera, Yu, Oyama, Yuhta, Kainuma, Motoshi, Kako, Eisuke, Kashiura, Masahiro, Kato, Hiromi, Kanaya, Akihiro, Kaneko, Tadashi, Kanehata, Keita, Kano, Ken-ichi, Kawano, Hiroyuki, Kikutani, Kazuya, Kikuchi, Hitoshi, Kido, Takahiro, Kimura, Sho, Koami, Hiroyuki, Kobashi, Daisuke, Saiki, Iwao, Sakai, Masahito, Sakamoto, Ayaka, Sato, Tetsuya, Shiga, Yasuhiro, Shimoto, Manabu, Shimoyama, Shinya, Shoko, Tomohisa, Sugawara, Yoh, Sugita, Atsunori, Suzuki, Satoshi, Suzuki, Yuji, Suhara, Tomohiro, Sonota, Kenji, Takauji, Shuhei, Takashima, Kohei, Takahashi, Sho, Takahashi, Yoko, Takeshita, Jun, Tanaka, Yuuki, Tampo, Akihito, Tsunoyama, Taichiro, Tetsuhara, Kenichi, Tokunaga, Kentaro, Tomioka, Yoshihiro, Tomita, Kentaro, Tominaga, Naoki, Toyosaki, Mitsunobu, Toyoda, Yukitoshi, Naito, Hiromichi, Nagata, Isao, Nagato, Tadashi, Nakamura, Yoshimi, Nakamori, Yuki, Nahara, Isao, Naraba, Hiromu, Narita, Chihiro, Nishioka, Norihiro, Nishimura, Tomoya, Nishiyama, Kei, Nomura, Tomohisa, Haga, Taiki, Hagiwara, Yoshihiro, Hashimoto, Katsuhiko, Hatachi, Takeshi, Hamasaki, Toshiaki, Hayashi, Takuya, Hayashi, Minoru, Hayamizu, Atsuki, Haraguchi, Go, Hirano, Yohei, Fujii, Ryo, Fujita, Motoki, Fujimura, Naoyuki, Funakoshi, Hiraku, Horiguchi, Masahito, Maki, Jun, Masunaga, Naohisa, Matsumura, Yosuke, Mayumi, Takuya, Minami, Keisuke, Miyazaki, Yuya, Miyamoto, Kazuyuki, Murata, Teppei, Yanai, Machi, Yano, Takao, Yamada, Kohei, Yamada, Naoki, Yamamoto, Tomonori, Yoshihiro, Shodai, Tanaka, Hiroshi, and Nishida, Osamu

Published
2021
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32. Continuous warfarin administration versus heparin bridging therapy in post colorectal polypectomy haemorrhage: a study protocol for a multicentre randomised controlled trial (WHICH study)

Author

Nagami, Yasuaki, Sakai, Taishi, Yamamura, Masafumi, Nakatani, Masami, Katsuno, Takayuki, Suekane, Takehisa, Uno, Hironori, Minamino, Hiroaki, Okuyama, Masatsugu, Okamoto, Junichi, Kumamoto, Mitsutaka, Noguchi, Atsushi, Yamamori, Kazuki, Takaishi, Osamu, Ochi, Masahiro, Miyazaki, Takako, Tsuji, Shigetsugu, Ikehara, Hisatomo, Kawaguchi, Koichiro, Hayashi, Tomoyuki, Mannami, Tomohiko, Kakimoto, Kazuki, Naito, Yoshihide, Hashimoto, Satoru, Li, Zhaoliang, Komeda, Yoriaki, Kishino, Takaaki, Yamamoto, Yoshinobu, Iguchi, Mikitaka, Akamatsu, Takuji, Horii, Toshiki, Miura, Ko, Yamashina, Takeshi, Sugihara, Yuusaku, Watanabe, Noboru, Kiyotoki, Shu, Fujii, Ryoji, Murata, Masaki, Ono, Satoshi, Narasaka, Toshiaki, Kitamura, Shinji, Kono, Mitsuhiro, Kato, Motohiko, Kawaratani, Hideto, Tanaka, Kyosuke, Yaoita, Takao, Yamaguchi, Shinjiro, Abe, Keiichiro, Kawamura, Takuji, Kinoshita, Yosuke, Imai, Kenichiro, Fujinami, Haruka, Yada, Tomoyuki, Miyamoto, Hayato, Yoshida, Hisako, and Fujiwara, Yasuhiro

Published
2021
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39. 墳Q(fun-Q) project : muography of Japanese ancient mounds by high school students

Author

Ohtsuka, Miki, primary, Aoki, Kenshiro, additional, Hashizume, Kana, additional, Ishii, Yuna, additional, Ishizawa, Tomoyo, additional, Kimura, Sogo, additional, Ogata, Sotatsu, additional, Okamoto, Yuki, additional, Ono, Satoshi, additional, Shiozaki, Asahi, additional, Takemori, Yuga, additional, Tomiku, Rino, additional, Yanagimoto, Wakana, additional, Higashide, Masaaki, additional, Ishikawa, Tsutomu, additional, Matsumoto, Akira, additional, Nakamori, Takeshi, additional, Shoji, Masayoshi, additional, Takahashi, Shota, additional, and Ueno, Kazuki, additional

Published
2023
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41. Digital Video Watermark Optimization for Detecting Replicated Two-Dimensional Barcodes

Author

Maehara, Takeru, Ikeda, Ryo, Ono, Satoshi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Shi, Yun-Qing, editor, Kim, Hyoung Joong, editor, Pérez-González, Fernando, editor, and Echizen, Isao, editor

Published
2016
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49. A Comparative Study on Self-Adaptive Differential Evolution Algorithms for Test Functions and a Real-World Problem

Author

Eguchi, Shota, Matsugano, Yuki, Sakaguchi, Hirokazu, Ono, Satoshi, Fukuda, Hisato, Furukawa, Ryo, Kawasaki, Hiroshi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Dhaenens, Clarisse, editor, Jourdan, Laetitia, editor, and Marmion, Marie-Eléonore, editor

Published
2015
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50. Simultaneous Entire Shape Registration of Multiple Depth Images Using Depth Difference and Shape Silhouette

Author

Ushinohama, Takuya, Sawai, Yosuke, Ono, Satoshi, Kawasaki, Hiroshi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Cremers, Daniel, editor, Reid, Ian, editor, Saito, Hideo, editor, and Yang, Ming-Hsuan, editor

Published
2015
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