Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Daisuke Okanohara"'
Publikováno v:
Journal of Materiomics, Vol 9, Iss 3, Pp 447-454 (2023)
Externí odkaz:
https://doaj.org/article/dfaaaa088a0f4f4a8834b72de6fc6640
Autor:
Tomoki Ando, Hiroto Iino, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata
Publikováno v:
Advanced Robotics. 37:621-633
We propose a new method for collision-free planning using Conditional Generative Adversarial Networks (cGANs) to transform between the robot's joint space and a latent space that captures only collision-free areas of the joint space, conditioned by a
Autor:
Juntaro, Matsuzaki, Ken, Kato, Kenta, Oono, Naoto, Tsuchiya, Kazuki, Sudo, Akihiko, Shimomura, Kenji, Tamura, Sho, Shiino, Takayuki, Kinoshita, Hiroyuki, Daiko, Takeyuki, Wada, Hitoshi, Katai, Hiroki, Ochiai, Yukihide, Kanemitsu, Hiroyuki, Takamaru, Seiichiro, Abe, Yutaka, Saito, Narikazu, Boku, Shunsuke, Kondo, Hideki, Ueno, Takuji, Okusaka, Kazuaki, Shimada, Yuichiro, Ohe, Keisuke, Asakura, Yukihiro, Yoshida, Shun-Ichi, Watanabe, Naofumi, Asano, Akira, Kawai, Makoto, Ohno, Yoshitaka, Narita, Mitsuya, Ishikawa, Tomoyasu, Kato, Hiroyuki, Fujimoto, Shumpei, Niida, Hiromi, Sakamoto, Satoko, Takizawa, Takuya, Akiba, Daisuke, Okanohara, Kouya, Shiraishi, Takashi, Kohno, Fumitaka, Takeshita, Hitoshi, Nakagama, Nobuyuki, Ota, Takahiro, Ochiya, Hideaki, Takashima
Publikováno v:
JNCI Cancer Spectrum. 7
Background Noninvasive detection of early stage cancers with accurate prediction of tumor tissue-of-origin could improve patient prognosis. Because miRNA profiles differ between organs, circulating miRNomics represent a promising method for early det
Publikováno v:
Computer Vision – ACCV 2018 ISBN: 9783030208752
ACCV (6)
ACCV (6)
This study presents a new lossy image compression method that utilizes the multi-scale features of natural images. Our model consists of two networks: multi-scale lossy autoencoder and parallel multi-scale lossless coder. The multi-scale lossy autoen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3635898aca82a0105a3173f869955a7
https://doi.org/10.1007/978-3-030-20876-9_45
https://doi.org/10.1007/978-3-030-20876-9_45
Autor:
Daisuke Okanohara, Shoichiro Yamaguchi, Tomoki Ando, Tetsuya Ogata, Kuniyuki Takahashi, Hiroki Mori, Ryota Torishima
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2020:1P1-G04
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2019:1P2-A14
Autor:
Hirotaka Hachiya, Taiji Suzuki, Masashi Sugiyama, Ichiro Takeuchi, Takafumi Kanamori, Daisuke Okanohara
Publikováno v:
IEICE Transactions on Infromation and Systems. (no. 3):583-594
Estimating the conditional mean of an input-output relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution has multi-modality, is highly asymmetric, or contains heteroscedastic
Autor:
Jun'ichi Tsujii, Daisuke Okanohara
Publikováno v:
Journal of Natural Language Processing. 14:273-295
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target object by using a continuous measure called sentiment polarity score (SP score) rather than binary polarity (good or bad
Publikováno v:
DCC
We consider practical implementations of compressed bit vectors, which support rank and select operations on a given bit-string, while storing thebit-string in compressed form. Our approach relies on variable-to-fixed (V2F) encodings of the bit-strin
Publikováno v:
ICDM Workshops
Data values are uneven. Some data have higher (financial) values than others. Data with low value-density should be reduced in size or removed in order to make room for new data with higher values. Okanohara et al. [9] argued that the data values wil