Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yusuke Ariyoshi"'
Publikováno v:
2018 5th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE).
Many corporations have social media marketing strategies. Acquisition of “Good!” reactions is essential for being likable, which would lead to a wider demand for products and services. We propose two methods to obtain “Good!” reactions to pro
Publikováno v:
Systems and Computers in Japan. 32:39-51
In order to perform with consistency a musical score having multiple parts, as in an orchestra or a chorus, it is important that the conductor and performers share its musical semantic structures. However, past studies of the expression or visualizat
Autor:
Yuuichi Teranishi, Yusuke Ariyoshi, Katsutoshi Hirayama, Junzo Kamahara, Naoki Tanaka, Takashi Nagamatsu
Publikováno v:
PerCom Workshops
In this article, we propose a geoconscious content-based image retrieval system based on a P2P mobile agent framework. This system retrieves similar photographs from an image database of location-dependent photographs (e.g., photos of buildings, land
Autor:
Yusuke Ariyoshi, Katsutoshi Hirayama, Takashi Nagamatsu, Yuuichi Teranishi, Naoki Tanaka, Junzo Kamahara
Publikováno v:
BWCCA
In this article, we focus on the design of an agent-based P2P system for egeoconscious' image retrieval. This system constitutes intelligent agents on the structured P2P framework PIAX (P2P Interactive Agent extension), which is especially enhanced f
Publikováno v:
Journal of New Music Research. 24:130-147
In this paper, we describe a new hypertext‐based score system, called Hyperscore. First, we model the spatial musical semantic structure based on a structured hypertext and then build the Hyperscore representation. Hyperscore can present various vi
Autor:
Yusuke Ariyoshi, Junzo Kamahara
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783642145889
DASFAA Workshops
DASFAA Workshops
An issue related to recommendation is the requirement of considerable memory for calculating the recommendation score. We propose a hybrid information recommendation method using singular value decomposition (SVD) to reduce data size for calculation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::804c367ed2418ed1251939949934eed2
https://doi.org/10.1007/978-3-642-14589-6_37
https://doi.org/10.1007/978-3-642-14589-6_37
Autor:
Yusuke, Ariyoshi, Keigo, Mizumoto
Publikováno v:
Nihon yakurigaku zasshi. Folia pharmacologica Japonica. 133(5)
イルベサルタン(イルベタン®)は,仏Sanofi社(現sanofi-aventis社)が創出したアンジオテンシンII(AII)タイプ1受容体(AT1)拮抗薬(ARB)で,それ自体が活性物質であり,優れた経口吸収