Details of a Researcher - Fujishiro, Issei

Presentations -

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High-dimensional data-driven approach to type Ia supernovae: Variable selection for the peak luminosity and classification

UEMURA Makoto, WATANABE Kazuho, WU Hsiang-Yun, TAKAHASHI Shigeo, FUJISHIRO Issei

Supervovae Through the Ages 2016,

2016.08

Poster presentation, Millennium Institute of Astrophysics

We introduce our two recent works on type Ia supernovae (SNe Ia) based on high-dimensional data-driven techniques.
In the second work, we used a visual analytics tool for the
asymmetric biclustering method to find both a good set of variables and samples at the same time. Using 14 variables and 132 samples, we found that SNe Ia can be divided into two categories by the expansion velocity of ejecta. In addition, the two sub-groups can be characterized by the strength of silicon lines. this example demonstrates that the high-dimensional data-driven approach is useful
for the big-data era of supernovae.

知覚心理学応用のススメ ―「見せる」から「魅せる」へ

藤代一成

3D合同シンポジウム2016 (東京国際フォーラム（東京都千代田区）) ,

2016.06

Oral presentation (invited, special), 3Dコンソーシアム・映像情報メディア学会立体映像技術研究委員会

TimeTubes: Visualization of polarization variations in blazars

UEMURA Makoto, XU Longyin, NAKAYAMA Masanori, WU Hsiang-Yun, WATANABE Kazuho, TAKAHASHI Shigeo, FUJISHIRO Issei

Blazars through Shapr Multi-Wavelength Eyes (Malaga, Spain) ,

2016.06

Oral presentation (general), Institute of Astrophysics in Andalucia

Optical polarization provides important clues to the magnetic field in blazar jets. It is easy to find intriguing features in the time-series data of the polarization degree (PD) and position angle (PA). On the
other hand, the trajectory of the object on the Stokes QU plane becomes essential when the object has multiple components of polarization. In this case, ironically, the more data we have, the more difficult it is to gain any knowledge from it. Here, we introduce TimeTubes, a new visualization scheme to explore the time-series of
polarization observed in blazars. We used TimeTubes for our data taken by the Kanata telescope between 2008-2014. We found that this tool facilitates the recognition of the patterns in blazar variations. We show some demonstrations of TimeTubes in our presentation.

選択的多次元データ表現のための空間配置

WU Hsiang-Yun，渡辺一帆，高橋成雄，植村　誠，藤代一成

科学研究費補助金新学術領域研究「スパースモデリングの深化と高次元データ駆動科学の創成」2015年度公開シンポジウム (神戸大学（兵庫県神戸市）) ,

2016.03

Poster presentation, 科学研究費補助金新学術領域研究「スパースモデリングの深化と高次元データ駆動科学の創成

Computational Journalism: Promising scenarios of big data visualization

FUJISHIRO Issei

UC Davis VIDI Labs Seminar (Davis, CA, USA) ,

2016.02

Public lecture, seminar, tutorial, course, or other speech, VIDI Labs, UC Davis

TimeTubes: Preliminary design of visualization tool for time-dependent, multi-variate blazar datasets

XU Longyin, NAKAYAMA Masanori, WU Hsiang-Yun, UEMURA Makoto, FUJISHIRO Issei

The International Meeting on High-Dimensional Data-Driven Science (HD3-2015) (Mielparque Kyoto, Kyoto, Japan) ,

2015.12

Poster presentation, MEXT Grant-in-Aid for Scientific Research on Innovative Areas Initiative for High-Dimensional Data-Driven Science through Deepening of Sparse Modeling

Making many-to-many parallel coordinate plots scalable by asymmetric biclustering

NIIBE Yusuke, WU Hsiang-Yun, WATANABE Kazuho, TAKAHASHI Shigeo, FUJISHIRO Issei

The International Meeting on High-Dimensional Data-Driven Science (HD3-2015) (Mielparque Kyoto, Kyoto, Japan) ,

2015.12

Poster presentation, MEXT Grant-in-Aid for Scientific Research on Innovative Areas Initiative for High-Dimensional Data-Driven Science through Deepening of Sparse Modeling

Many-to-many parallel coordinate plots enable users to grasp at a time correlations between arbitrary pairs of dimensions in a given multi-dimensional dataset. However, the more pairs of dimensions we visualize, the smaller area for displaying each of the pairs becomes. This problem makes it difficult for the users to discover specific highlycorrelated pairs in the datasets. This poster presented our attempt to make the many-to-many parallel coordinate plots scalable by biclustering the underlying dataset in terms of data samples and dimensions asymmetrically with different methods. The effectiveness of this approach was empirically proven through applications of the current prototype system to several practical datasets.

トリックアート原理に基づく裸眼立体ディスプレイシステム

藤代一成，井坂　建

KEIO TECHNO-MALL 2015（第16回慶應科学技術展） (東京国際フォーラム（東京都千代田区）) ,

2015.12

Other, 慶應義塾大学理工学部

Education Panel: Tomorrow's digital content leaders in Asia

SHIOTA Shuzo John, AOKI Miho (moderators), FONG Ricky, FUJISHIRO Issei, PARK Dallim, SEE Loong Choon (panelists)

ACM SIGGRAPH Asia 2015 Symposium Education (Kobe Convention Center (Kobe, Hyogo, Japan)) ,

2015.11

Symposium, workshop panel (nominated), ACM SIGGRAPH

In this panel, we discussed the current status and the future challenges of human resource development efforts in the digital content field in Asian countries. The panel invited representatives from three Asian regions, Hong Kong, Singapore and Japan, and the ACM SIGGRAPH organization. The discussion focused on the digital content industry, digital content development and engineering education, including computer graphics, interactive techniques, animation and other visual arts. This panel discussion was organized jointly by the Computer Graphic Arts Society (CG-ARTS) and the SIGGRAPH Asia 2015 Symposium on Education.

Computational Journalism: Promising scenarios of big data visualization

FUJISHIRO Issei

Norrköping Visualization Center Seminar (Norrköping, Sweden) ,

2015.10

Public lecture, seminar, tutorial, course, or other speech, Norrköping Visualization Center, Linköping University

コンピュータグラフィックスの最新事情・動向

藤代一成

アーク情報システムSIGGRAPH2015報告会 (私学会館（東京都新宿区）) ,

2015.10

Public lecture, seminar, tutorial, course, or other speech, アーク情報システム

データ可視化とスパースモデリング

藤代一成