コンピュータサイエンスカフェ

コンピュータサイエンスカフェ ~MSR研究トップと語る~

Computer Science Cafe - MSR Forum with top researchers

多数様のご参加,ありがとうございました!

コンピュータサイエンスカフェの模様は下記PDFをごらんください.

コンピュータサイセンスカフェ開催報告書 (日本語)

Report of Computer Science Cafe (English)

また,京大のニュースにも掲載されています.ぜひごらんください.

21世紀コンピュータコンファレンスを開催しました

コンピュータサイエンスとその周辺分野で活躍するマイクロソフトリサーチのトップ研究者と

京都の研究者・学生・ITベンチャー企業家との学術交流を気軽な雰囲気で楽しむためのイベントです!

21世紀コンピューティングコンファレンスと連動して、あなたも今後のコンピューティングの再定義に参加してみませんか?

日時: 2009年11月6日(金) 10:00~12:45

場所: 京都大学芝蘭会館 山内ホール

プログラム:

10:00 - 10:10 オープニングスピーチ 黒橋禎夫教授(京大情報学研究科)

10:10 - 11:00 MSRのコンピュータサイエンスMicrosoft Research のトップ研究者の発表とQ&Aセッション)

11:00 - 12:00 京都のコンピュータサイエンス(京大関連の若手研究者・企業家の発表・質疑応答)

12:00 - 12:45 ポスターランチ(京大情報学の研究者によるポスター発表,軽食付き

使用言語: 英語

参加費: 無料

司会・講演者:

第一部(MSRのコンピュータサイエンス)

司会: 公野 昇 (University Relations Manager, Microsoft Research Asia)

講演者:

Mike Schroeder (Assistant Managing Director, MSR Silicon Valley)

Baining Guo (Assistant Managing Director, MSR Asia)

Dan Reed (Corporate Vice President, Extreme Computing Group)

Q&Aセッション:

 * 講演者は変更になる可能性があります。

       

第二部(京都のコンピュータサイエンス)

司会: 永原正章(情報学研究科,助教)

講演者:

延原章平(情報学研究科,GCOE 助教)

中村聡史(情報学研究科,GCOE 講師)

坂本尚久(京都大学高等教育研究開発推進センター,特定助教)

畠中晃弘(株式会社クエステトラCTO,情報学研究科OB)

第三部(ポスターランチ)

高橋徹(情報学研究科,GCOE助教)

金子めぐみ(情報学研究科,ポスドク研究員)

佐藤彰洋(情報学研究科,助教),中本武志(情報学研究科,M1)

柴田知秀(情報学研究科,助教)

永原正章(情報学研究科,助教)

角 康之(情報学研究科,准教授)

張 信鵬(院情報学研究科,D1)

浅野 泰仁(情報学研究科,特定准教授)

ほか

講演内容詳細:

第一部(MSRのコンピュータサイエンス)

Mike Schroeder (Assistant managing director, MSR Silicon Valley)

http://research.microsoft.com/en-us/people/mds/

Baining Guo (Assistant Managing Director, MSR Asia)

http://research.microsoft.com/en-us/people/bainguo/

Dan Reed (Vice President, Extreme Computing Group)

http://research.microsoft.com/en-us/people/reed/

第二部(京都のコンピュータサイエンス)

Shohei Nobuhara (Assistant Professor, Graduate School of Informatics) 

Title: 3D Human Sensing using 3D Video

Abstract: 

The development of 3D video in recent years realizes 3D

surface capturing of human in motion as is. In this presentation we

introduce 3D human sensing algorithms based on 3D video.  Since 3D video

capturing does not require the object to attach special markers or to

wear a special costume, we can capture the original information such as

body motion or viewing directions without any disturbance caused by the

sensing system itself.

Satoshi Nakamura (Lecturer, Graduate School of Informatics)

Title: Reranking interfaces for bridging between users and search services

Abstract:

Nowadays, Web search services have become common tools to obtain information on the Web.

However, it is still not easy for users to find target information or required objects because of

the poor interaction between users and search services. In this talk, we have

proposed and realized a method for enabling users to rerank search results according to their search

intentions by direct manipulation. In addition, we have proposed several interfaces which

encourage users to interact with search results and enable them to compare something, to search

video clips and to rerank based on social bookmarks.

Naohisa Sakamoto (Assistant Professor, Center for the Promotion of Excellence in Higher Education)

Title: High quality particle-based volume rendering for large-scale irregular volume dataset

Abstract:

We describe an approach for sorting-free volume rendering of an

irregular volume dataset. Although the importance of irregular volume

rendering is widely recognized, scalability has been thought to be

difficult to realize since the large-scale irregular volume dataset

cannot fit into the memory space of the visualization node. A

ray-casting technique requires cell adjacency information in addition

to the volume dataset. A projection technique requires a large memory

space in order to calculate the visibility sorting at each viewing

point. To solve the problem, we regard the brightness equation as an

expected value of the luminosity of a sampling point along a viewing

ray, and propose a sorting-free approach that simply controls the

fragment rendering by using the evaluated opacity value to calculate a

rendered image. We applied our technique to large-scale irregular

volumes and confirmed that the splatting shows the best performance.

Akihiro Hatanaka (CTO, Questetra Inc., alumnus of Graduate School of Informatics)

Title: Smart start-up of SaaS Business -- in the case of Questetra BPM

Abstract:

Questetra, Inc. was founded in 2008 by engineers who are almost all

alumni of graduate school of Informatics, Kyoto University.

We are developing and selling a BPM Software named "Questetra BPM

Suite" and our mission is "to optimize the world's human task-centric

business processes."

When we launch Questetra BPM Suite, we distribute the software solely

as a download package.

However, since September 2009, we have been offering the software as a

service (SaaS).

The development of cloud computing services in recent years has been

lowering risk and cost of launching a SaaS even for start-ups.

In the presentation, we will give an overview about cloud computing

services in Japan and will introduce how we built the SaaS.

第三部(ポスターランチ)

Toru Takahashi (Assistant Professor, Graduate School of Informatics)

Title: Simultaneous Speech Recognition System implemented on Humanoid Robot HRP-2

Abstract: 

We developed simultaneous speech recognition system and implemented on

a humanoid robot. This system can recognize speech signals uttered by more than two

talkers. We often meet such a situation in real environment. Our system is constructed

with array of microphones, sound source localization, sound source separation,

acoustic feature extraction, automatic missing-feature mask generation and automatic speech

recognition based on missing-feature-theory. We conducted simultaneous speech

recognition experiment by three talkers. Our system was  evaluated by work correct ratio

and compared with automatic speech recognition system without missing feature mask.

We show that our system outperform conventional system.

Megumi Kaneko (Graduate School of Informatics, Kyoto University)

Title: Radio Resource Allocation Algorithms for Wireless Multi-Carrier Relayed Systems

Abstract:

We focus on the issue of radio resource allocation algorithms for

downlink transmissions in a cellular system based on Orthogonal

Frequency Division Multiplexing (OFDM) technology. Recently,

increasing attention has been turned to cellular systems with relays,

but only a few algorithms have been designed for an OFDMA-based relay

system due to its inherent complexity. In this work, we propose low

complexity algorithms that operate in a relay-aided based station

centralized manner, thereby reducing the amount of required channel

state information. Simulation results show that our algorithms achieve

a very good throughput/outage trade-off.

Aki-Hiro Sato and Takeshi Nakamoto* (Graduate School of Informatics, Kyoto University) 

*Presenter

Title:Comparative analysis of participants' synchrony and similarity of collective behaviour in the foreign exchange market

Abstract:

Vast amounts of high resolution data on human activities

are available due to development and spread of Information and

Communication Technology. In this poster we will show several

results of empirical analysis on the foreign exchange market with

the vast amounts of data on its quotes and trades. Findings and

conclusion are as follows.

Findings:

 1. Shares of currencies and currency pairs during each observation

   period temporally vary and sometimes drastically changed.

 2. There exists a positive correlation between synchronous indices

   which measure impulsive concentration of participants' activities

   over the market and a change of their shares.

Conclusion:

   It is concluded that both market participants' synchrony and

   shares of currencies and currency pairs may influence trend of

   exchange rates.

Tomohide Shibata (Graduate School of Informatics, Kyoto University)

Title: Web Information Organization using Keyword Distillation Based Clustering

Abstract:

We propose a system that conducts search result clustering for several

thousands of Web pages, and elaborates cluster labels through keyword

distillation.  Keyword distillation is a method that properly handles

spelling variations, transliterations, synonyms, and inclusion

relations, using linguistic resources.  The system takes advantage of

a search engine infrastructure and grid computing environment.

Experimental results show that the system correctly merged synonymous

keywords and is useful for finding topics hidden in the lower-ranked

pages in a search result.

Yasuyuki Sumi (Graduate School of Informatics, Kyoto University)

Title: PhotoChat: Communication Support System based on Sharing Photos and Notes

Abstract:

I will show PhotoChat, a system that facilitates communication among

users who want to share experiences by enabling them to share photos

and notes.  PhotoChat is designed to be used as a digital camera and

to run on mobile PCs with a camera module.  PhotoChat users can

comment on the shared photos with a pen interface.  The data, i.e.,

photos and comments, are distributed among PhotoChat users in real

time to enable them to learn others' interests and to chat easily.

 Xinpeng Zhang and Yasuhito Asano (Graduate School of Informatics, Kyoto University)

Title: Discovery of "Enishi"

Abstract: 

"Enishi" (縁) means relationship in Japan.  Two kinds of relations

exist, explicit relations, e.g. a friend,

and implicit relations, e.g. a friend of a friend. Both kinds of relations

have important roles in the real world.

In this research, we propose a method for analyzing relationships between

objects on the link structure of Wikipedia using a generalized maximum flow

model.

We also propose a tool for deeply understanding relationships based on the

method.

Masaaki Nagahara (Graduate School of Informatics, Kyoto University)

Title: Activity report of Informatics Young Colloquium in Kyoto University

Abstract:

Informatics young colloquium is a luncheon seminar

on informatics held in Kyoto university.

This is held 2 or 3 times a month.

The topics are choosen from a large selection of

reseach areas such as computer vision,

machine learning, speech recognition,

control theory, signal processing,

numerical analysis, and so on.

In this presentation, we show the report

of this activity.