MIZUTA Masahiro

J-GLOBAL         Last updated: Nov 6, 2018 at 21:00
 
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Name
MIZUTA Masahiro
Alternative names
3a001102
Affiliation
Hokkaido University
Section
Information Initiative Center, Information Networks
Job title
Professor

Research Areas

 
 

Published Papers

 
Okabe Hiroaki, Shimizu Chikara, Yamamoto Maiko, Kikuchi Rei, Minami Akiko, Chen Yi-Fan, Imai Hideyuki, Mizuta Masahiro, Chen Zhen, Chiba Hitoshi, Hui Shu-Ping
ANALYTICAL SCIENCES   34(9) 1043-1047   Sep 2018   [Refereed]
Takagi R, Komiya Y, Sutherland KL, Shirato H, Date H, Mizuta M
Journal of radiation research   59(suppl_1) i32-i39   Mar 2018   [Refereed]
Shrestha R, Hirano KI, Suzuki A, Yamaguchi S, Miura Y, Chen YF, Mizuta M, Chiba H, Hui SP
Analytical sciences : the international journal of the Japan Society for Analytical Chemistry   33(11) 1297-1303   Nov 2017   [Refereed]
Matsui Y, Mizuta M, Ito S, Miyano S, Shimamura T
Bioinformatics (Oxford, England)   32(15) 2248-2255   Aug 2016   [Refereed]
水田正弘
日本情報経営学会誌   36(4) 12‐17-17   Jun 2016
In this paper, we give an introduction of big data from view point of statistics including definition of big data, features of big data. The cause of Big data trend is in the fall of prices for data collection, storage and communication. The remai...
水田正弘
医用画像情報学会雑誌(Web)   33(1) 1‐3(J‐STAGE)-3   Mar 2016
ビッグデータが有する全ての情報を可視化するのは不可能であり、ビッグデータに対する可視化の第一の課題は、情報の縮約である。著者らは、ビッグデータからミニデータを取り出し、そのミニデータに対して、可視化や統計科学の手法を用いて解釈する「ミニデータアプローチ」を提唱している。ビッグデータに対して可視化手法は常に有効か検討し、ビッグデータからミニデータを取り出す方法として、標本化、変数選択、次元縮小、特徴抽出、シンボリック化について述べた。
五十嵐千人, 松井佑介, 南弘征, 水田正弘
計算機統計学   28(2) 139‐146-146   Dec 2015
In this paper, we propose a method for extracting useful information of the customer's purchase tendency from data recorded in a group-buying coupon site. To begin with, we classify the customers using cluster analysis according to categories of ...
Sugano Y, Mizuta M, Takao S, Shirato H, Sutherland KL, Date H
Medical physics   42(11) 6203-6210   Nov 2015   [Refereed]
Hiroki Shirato, Hiroki Shirato, Rikiya Onimaru, Shinichi Shimizu, Shinichi Shimizu, Naoki Miyamoto, Ruijiang Li, Ruijiang Li, Albert C. Koong, Albert C. Koong, Masahiro Mizuta
Stereotactic Body Radiation Therapy: Principles and Practices   239-250   Aug 2015
Igarashi Kazuto, Minami Hiroyuki, Mizuta Masahiro
COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS   22(3) 265-276   May 2015   [Refereed]
松井佑介, 小宮由里子, 南弘征, 水田正弘
データ分析の理論と応用   4(1) 43-55   Mar 2015
松井佑介, 小宮由里子, 南弘征, 水田正弘
計算機統計学   27(2) 65-77   Dec 2014
In this paper, we propose a method for identifying an irregular domain of multi dimensional data that are observed continuously and its application to sensing data. We partition the data into three subdomains on each dimension - "irregularly high ...
HAMADA ATSUSHI, MINAMI HIROYUKI, MIZUTA MASAHIRO
計算機統計学   26(1) 3-16   Dec 2013
In this paper, we propose Principal Component Analysis (PCA) for modal interval-valued data. Professor Diday proposed Symbolic Data Analysis (SDA) which aggregate large datasets without loss of essential information. The aggregated data is called ...
YONEMORI CHIKARA, MINAMI HIROYUKI, MIZUTA MASAHIRO
日本統計学会誌   43(1) 59-67   Sep 2013
Yonemori Chikara, Minami Hiroyuki, Mizuta Masahiro
日本統計学会誌. シリーズJ   43(1) 59-67   Sep 2013
We propose a novel non-hierarchical symbolic clustering for distribution valued data for an approach of big data analysis. The data are represented as probability distributions in symbolic data analysis (SDA). SDA is an effective approach that ena...
FUJITA Masanori, TEZUKA Hirohisa, MUTO Shinyo, MINAMI Hiroyuki, MIZUTA Masahiro
Kodo Keiryogaku   40(1) 3-15   Mar 2013
This paper proposes a method to make and analyze "contact-keywords history" from GPS logging data. We develop the method to infer gourmet preferences. The history consists of time-series attributes related to spots (shops, restaurants, etc.) in GP...
Mizuta M, Takao S, Date H, Kishimoto N, Sutherland KL, Onimaru R, Shirato H
International journal of radiation oncology, biology, physics   84(3) 829-833   Nov 2012   [Refereed]
PURPOSE:Hypofractionated irradiation is often used in precise radiotherapy instead of conventional multifractionated irradiation. We propose a novel mathematical method for selecting a hypofractionated or multifractionated irradiation regimen base...
Mizuta M, Date H, Takao S, Kishimoto N, Sutherland KL, Onimaru R, Shirato H
Medical physics   39(11) 6791-6795   Nov 2012   [Refereed]
藤田将成, 伊藤浩二, 小林稔, 南弘征, 水田正弘
データ分析の理論と応用   2(1) 53-68   Sep 2012
KATAYAMA Kotoe, MINAMI Hiroyuki, MIZUTA Masahiro
Journal of the Japanese Society of Computational Statistics   23(1) 41-50   Dec 2010
This paper proposes a dimension reduction technique in the framework of symbolic data analysis (SDA). Recent advances in technology have increased the complexity of datasets, and today, their size is much larger than it was in the past decade. Mos...
KATO June, HARADA Ko, MINAMI Hiroyuki, MIZUTA Masahiro
The IEICE transactions on information and systems (Japanese edetion)   92(4) 455-466   Apr 2009
放送番組で利用される音楽著作権処理のために,音楽の特徴(フィンガープリント)を利用した楽曲特定サービスの検討が進んでいる.音楽使用料の権利者への分配を正確に行うためには,できるだけ多くの放送番組での楽曲利用を把握する必要があるが,全放送番組を網羅することはコスト面から見て現実的ではない.本論文では,効率的に楽曲利用状況を推定するためのサンプリング手法を提案し,サンプリングモデルの検討及び実データを用いたシミュレーションにより,その有効性を確認した.更に,分配誤差の指標を提案し,その指標を用...
Nobuo Shimizu,Masahiro Mizuta
Computational Intelligence Paradigms, Innovative Applications   149-165   2008   [Refereed]
Masahiro Mizuta,June Kato
Rough Sets and Knowledge Technology, Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings   228-235   2007   [Refereed]
Mizuta Masahiro
DATA ANALYSIS, CLASSIFICATION AND THE FORWARD SEARCH   31-37   2006   [Refereed]
MIZUTA Masahiro
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   17(4) 413-417   Aug 2005
HIRO Shintaro, KOMIYA Yuriko, MINAMI Hiroyuki, MIZUTA Masahiro
Japanese journal of applied statistics.   33(3) 225-241   Mar 2005

Misc

 
水田正弘
日本計算機統計学会大会論文集   28th(28) 55-56   May 2014
Yusuke Matsui, Yuriko Komiya, Hiroyuki Minami, Masahiro Mizuta
Studies in Classification, Data Analysis, and Knowledge Organization   46 37-46   Jan 2014
© Springer International Publishing Switzerland 2014. There are increasing requirements for analysing very large and complex datasets derived from recent super-high cost performance computer devices and its application software. We need to aggrega...
金澤侑哉, 南弘征, 水田正弘
日本計算機統計学会大会論文集   30th(0) 127‐128-128   May 2016
鈴木和之, 小宮由里子, 南弘征, 水田正弘
日本計算機統計学会シンポジウム論文集   27th 11-14   Nov 2013
斎藤隆明, 水田正弘, 南弘征, 小宮由里子
日本計算機統計学会シンポジウム論文集   29th 47-48   Nov 2015
藤崎稔晃, 南弘征, 水田正弘
日本計算機統計学会シンポジウム論文集   27th 261-264   Nov 2013
星加祐輔, 水田正弘, 南弘征, 小宮由里子
日本計算機統計学会シンポジウム論文集   29th 29-30   Nov 2015
松井佑介, 南弘征, 水田正弘
統計関連学会連合大会講演報告集   2013 145   Sep 2013
水田正弘
統計関連学会連合大会講演報告集   2013 205   Sep 2013
菅野康貴, 水田正弘, 小宮由里子, 高尾聖心, 白土博樹, 伊達広行
北海道放射線技術雑誌   75(75) 138-138   Oct 2013
難波江貴行, 南弘征, 水田正弘
日本計算機統計学会大会論文集   29th(0) 101-102   2015
水田正弘
統計関連学会連合大会講演報告集   2015 332   Sep 2015
南弘征, 水田正弘
日本計算機統計学会シンポジウム論文集   28th 127-130   Nov 2014
菅野康貴, 水田正弘, 高尾聖心, 白土博樹, SUTHERLAND Kenneth L, 伊達広行
日本放射線技術学会雑誌   70(9) 1022-1022   Sep 2014
Masahiro Mizuta, Hiroyuki Minami
Studies in Classification, Data Analysis, and Knowledge Organization   23-28   Dec 2012   [Refereed]
We deal with methods for analyzing complex structured data, especially, distribution valued data. Nowadays, there are many requests to analyze various types of data including spatial data, time series data, functional data and symbolic data. The i...
水田正弘
日本計算機統計学会シンポジウム論文集   26th 119-120   Nov 2012
伊藤大哲, 南弘征, 水田正弘
情報処理北海道シンポジウム講演論文集   2012 117-118   Oct 2012
石井 一夫, 水田 正弘, 中野 美由紀
情報処理   55(9) 956-957   Aug 2014
水田正弘, 高尾聖心, 伊達広行, 白土博樹
統計関連学会連合大会講演報告集   2012 45   Sep 2012
馬場朋哉, 南弘征, 水田正弘
情報処理北海道シンポジウム講演論文集   2012 95-98   Oct 2012
鈴木和之, 小宮由里子, 水田正弘
統計関連学会連合大会講演報告集   2012 199   Sep 2012
松井佑介, 水田正弘, 南弘征
統計関連学会連合大会講演報告集   2012 64   Sep 2012
妹尾いづみ, 松井佑介, 小宮由里子, 南弘征, 水田正弘
統計関連学会連合大会講演報告集   2012 242   Sep 2012
水田正弘
統計関連学会連合大会講演報告集   2012 316   Sep 2012
藤崎稔晃, 南弘征, 水田正弘
統計関連学会連合大会講演報告集   2012 315   Sep 2012
水田 正弘
日本計算機統計学会シンポジウム論文集   26(26) 119-120   Nov 2012
水田正弘
統計関連学会連合大会講演報告集   2011 244   Sep 2011
Masahiro Mizuta
Handbook of Computational Statistics: Concepts and Methods: Second Edition   619-644   Jan 2012
Ikeda Tomoyasu, Komiya Yuriko, Minami Hiroyuki, Mizuta Masahiro
Bulletin of the Computational Statistics of Japan   23(2) 1-11   Apr 2011
In this paper, we propose a derivative of interval-valued functional data, and apply it to cluster analysis. Symbolic Data Analysis (SDA) proposed by Diday is a new approach for analyzing various data which are represented by symbolic concept incl...
林邦好, 林邦好, 南弘征, 水田正弘
日本計算機統計学会大会論文集   25th 59-62   May 2011
Katayama Kotoe, Minami Hiroyuki, Mizuta Masahiro
Bulletin of the Computational Statistics of Japan   22(2) 83-89   May 2010
We propose a hierarchical clustering in the framework of Symbolic Data Analysis (SDA). SDA was proposed by Diday at the end of the 1980s and is a new approach for analysing huge and complex data. In SDA, an observation is described by not only num...
水田正弘
統計関連学会連合大会講演報告集   2010 312   Sep 2010
林邦好, 林邦好, 南弘征, 水田正弘
統計関連学会連合大会講演報告集   2010 249   Sep 2010
IKEDA Tomoyasu, KOMIYA Yuriko, MINAMI Hiroyuki, MIZUTA Masahiro
Japanese Journal of Applied Statistics   39(1) 21-33   Apr 2010
We discuss an extension of Functional Principal Component Analysis (Functional PCA) to Symbolic Data Analysis (SDA).<BR>SDA proposed by Diday is a new approach for analyzing datasets which are too large and complex to handle with conventional meth...
近藤和也, 豊田健志, 南弘征, 水田正弘
日本計算機統計学会大会論文集   24th 13-16   May 2010
岸本直樹, 小宮由里子, 南弘征, 水田正弘
日本計算機統計学会大会論文集   24th 139-142   May 2010
Matsui Yusuke, Mizuta Masahiro, Minami Hiroyuki, Komiya Yuriko
日本計算機統計学会シンポジウム論文集   0(25) 101-102   Nov 2011
This paper discusses a symbolic clustering method for distribution valued dissimilarities. Symbolic Data Analysis (SDA) is a new approach for data analysis proposed by Diday in 1980s. Especially, a clustering method for symbolic data is called "Sy...
Kishimoto Naoki, Komiya Yuriko, Date Hiroyuki, Shirato Hiroki, Mizuta Masahiro
日本計算機統計学会シンポジウム論文集   0(25) 103-106   Nov 2011
Mizuta Masahiro
Bulletin of the Computational Statistics of Japan   24(1) 1-2   Oct 2011
Kuniyoshi Hayashi, Hiroyuki Minami, Masahiro Mizuta
Proceedings of COMPSTAT 2010 - 19th International Conference on Computational Statistics, Keynote, Invited and Contributed Papers   19-500   Jan 2010
In this paper, we discuss sensitivity analysis in linear subspace method, especially on multiple-case diagnostics. Linear subspace method by Watanabe (1973) is a useful discriminant method in the field of pattern recognition. We have proposed its ...
Hayashi Kuniyoshi, Minami Hiroyuki, Mizuta Masahiro
COMPSTAT'2010: 19TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STATISTICS   493-500   2010   [Refereed]
池田智康, 小宮由里子, 南弘征, 水田正弘
日本計算機統計学会シンポジウム論文集   23rd 11-14   Nov 2009
林邦好, 南弘征, 水田正弘
統計関連学会連合大会講演報告集   2009 115   Sep 2009
林 邦好, 南 弘征, 水田 正弘
日本計算機統計学会大会論文集   0(25) 59-62   May 2011
片山琴絵, 南弘征, 水田正弘
統計関連学会連合大会講演報告集   2009 50   Sep 2009
Hiro Shintaro, Minami Hiroyuki, Mizuta Masahiro
Bulletin of the Computational Statistics of Japan   21(1-2) 15-29   May 2009
In this paper, we propose a functional relative projection pursuit as an extended method of relative projection pursuit (Mizuta, 2002a) for functional data analysis. This method finds an 'interesting' structure of subset data in a low dimensional ...
豊田健志, 池田智康, 小宮由里子, 水田正弘
統計関連学会連合大会講演報告集   2009 99   Sep 2009
水田正弘
統計関連学会連合大会講演報告集   2009 52   Sep 2009
Shimizu Nobuo, Mizuta Masahiro
Bulletin of the Computational Statistics of Japan   21(1-2) 1-13   May 2009
In this paper, we deal with functional principal points of Gaussian random functions and functional clustering. The k principal points of a p-variate random variable X are defined as the k points which minimize the expected squared distance of X f...
高橋一磨, 南弘征, 水田正弘
統計関連学会連合大会講演報告集   2009 51   Sep 2009
近藤 和也, 豊田 健志, 南 弘征, 水田 正弘
日本計算機統計学会大会論文集   0(24) 13-16   May 2010
豊田健志, 小宮由里子, 南弘征, 水田正弘
日本計算機統計学会大会論文集   23rd 123-126   May 2009
水田正弘
応用統計学会年会講演予稿集   2009 67-74   2009
池田 智康, 小宮 由里子, 南 弘征, 水田 正弘
日本計算機統計学会シンポジウム論文集   23(23) 11-14   Nov 2009
西堀一幹, 小宮由里子, 南弘征, 水田正弘
日本計算機統計学会シンポジウム論文集   22nd 9-12   Nov 2008
浜田惇, 南弘征, 水田正弘
日本計算機統計学会シンポジウム論文集   22nd 213-216   Nov 2008
池田智康, 小宮由里子, 南弘征, 水田正弘
電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM)   2008 ROMBUNNO.0030   Oct 2008
高橋一磨, 小宮由里子, 南弘征, 水田正弘
電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM)   2008 ROMBUNNO.0050   Oct 2008
林邦好, 小宮由里子, 南弘征, 水田正弘
電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM)   2008 ROMBUNNO.0045   Oct 2008
水田正弘
統計関連学会連合大会講演報告集   2008 202   Sep 2008
Nobuo Shimizu, Masahiro Mizuta
Studies in Computational Intelligence   137 149-165   Jul 2008
In this chapter, we deal with functional principal points and functional cluster analysis. The k principal points [4] are defined as the set of k points which minimizes the sum of expected squared distances from every points in the distribution to...
Masahiro Mizuta, June Kato
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   4481 LNAI 228-235   Dec 2007
In this paper, we deal with functional data analysis including functional clustering and an application of functional data analysis. Functional data analysis is proposed by Ramsay et al. In functional data analysis, observed objects are represente...
Nobuo Shimizu, Masahiro Mizuta
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   4693 LNAI 501-508   Dec 2007   [Refereed]
In this paper, we deal with the relation between functional clustering and functional principal points. The k principal points are defined as the set of k points which minimizes the sum of expected squared distances from every points in the distri...
MIZUTA MASAHIRO, MINAMI HIROYUKI
横幹連合コンファレンス(CD-ROM)   2nd(0) ROMBUNNO.30D10-116   2007
In this paper, we introduce new approaches for analysis of complex structured data set. Most methods for data analysis assume that the data are sets of numbers with structures. For example, typical multivariate data are identified as a set of n ve...
林邦好, 田中豊, 水田正弘
日本計算機統計学会大会論文集   22nd 117-120   2008
片山琴絵, 南弘征, 水田正弘
統計関連学会連合大会講演報告集   2007 193   Sep 2007
豊田 健志, 小宮 由里子, 南 弘征, 水田 正弘
日本計算機統計学会大会論文集   23(23) 123-126   May 2009
水田正弘
統計関連学会連合大会講演報告集   2007 102   Sep 2007
加藤順, 原田高, 南弘征, 水田正弘
電子情報通信学会論文誌 D   92(4) 455-466   Apr 2009
星加英康, 加藤順, 南弘征, 水田正弘
日本計算機統計学会シンポジウム論文集   20th 43-46   Oct 2006
SOMA Takahiro, NAGAI Norishige, OHSHIMA Masaaki, KOMIYA Yuriko, MINAMI Hiroyuki, TAKAI Yoshiaki, MIZUTA Masahiro
Technical report of IEICE. TM   106(34) 1-6   May 2006
SPAM mails, especially including some sexual words in Japanese, have been annoying us and the amount is approximately 20% of the total in our campus LAN. Moreover, we, administrative sections, have sometimes detected sending SPAMs from ours, cause...
西堀 一幹, 小宮 由里子, 南 弘征, 水田 正弘
日本計算機統計学会シンポジウム論文集   22(22) 9-12   Nov 2008
浜田 惇, 南 弘征, 水田 正弘
日本計算機統計学会シンポジウム論文集   22(22) 213-216   Nov 2008
大石淳之, 島村徹平, 南弘征, 水田正弘
日本計算機統計学会大会論文集   20th 183-184   May 2006
原田剛, 小宮由里子, 南弘征, 水田正弘
日本計算機統計学会大会論文集   20th 189-190   May 2006
片山琴絵, 鈴川晶夫, 南弘征, 水田正弘
日本計算機統計学会大会論文集   20th 139-142   May 2006
林 邦好, 田中 豊, 水田 正弘
日本計算機統計学会大会論文集   22(22) 117-120   May 2008
水田正弘
統計関連学会連合大会講演報告集   2006(CD-ROM) 9GATSU7NICHI.GOGO2.BKAIJO.2   2006
弘新太郎, 弘新太郎, 小宮由里子, 南弘征, 水田正弘
日本計算機統計学会シンポジウム論文集   19th 83-86   Oct 2005
星加 英康, 加藤 順, 南 弘征, 水田 正弘
日本計算機統計学会シンポジウム論文集   20(20) 43-46   Oct 2006
本堂 義行, 南 弘征, 白土 博樹, 水田 正弘
計算機統計学   18(1)    Jun 2006
Teppei Shimamura, Masahiro Mizuta
Neural Network World   15(4) 367-374   Sep 2005
Radial basis function networks provides a more flexible model and gives a very good performance over a wide range of applications. However, in the modeling process, care is taken not to choose the number of the basis functions and the positions of...
水田正弘
知能と情報   17(4) 413-417   Aug 2005
SOMA Takahiro, NAGAI Norishige, OHSHIMA Masaaki, KOMIYA Yuriko, MINAMI Hiroyuki, TAKAI Yoshiaki, MIZUTA Masahiro
情報処理学会研究報告インターネットと運用技術(IOT)   2006(42) 1-6   May 2006
SPAM mails, especially including some sexual words in Japanese, have been annoying us and the amount is approximately 20% of the total in our campus LAN. Moreover, we, administrative sections, have sometimes detected sending SPAMs from ours, cause...
本堂義行, 南弘征, 白土博樹, 水田正弘
日本計算機統計学会シンポジウム論文集   18th 5-8   Oct 2004
片山 琴絵, 鈴川 晶夫, 南 弘征, 水田 正弘
日本計算機統計学会大会論文集   20(20) 139-142   May 2006
原田高, 南弘征, 水田正弘
統計関連学会連合大会講演報告集   2004 14-15   Sep 2004
大石 淳之, 島村 徹平, 南 弘征, 水田 正弘
日本計算機統計学会大会論文集   20(20) 183-184   May 2006
水田正弘
統計関連学会連合大会講演報告集   2004 365-366   Sep 2004
原田 剛, 小宮 由里子, 南 弘征, 水田 正弘
日本計算機統計学会大会論文集   20(20) 189-190   May 2006
松田卓也, 南弘征, 水田正弘
統計関連学会連合大会講演報告集   2004 19-20   Sep 2004
島村徹平, 小宮由里子, 水田正弘
統計関連学会連合大会講演報告集   2004 404-405   Sep 2004
弘 新太郎, 小宮 由里子, 南 弘征, 水田 正弘
日本計算機統計学会シンポジウム論文集   19(19) 83-86   Oct 2005
原田 高, 南 弘征, 水田 正弘
計算機統計学   17(2)    Aug 2005
原田高, 南弘征, 水田正弘
日本計算機統計学会大会論文集   18th 157-160   May 2004
松田卓也, 南弘征, 水田正弘
日本計算機統計学会大会論文集   18th 161-164   May 2004

Conference Activities & Talks

 
水田正弘
統計関連学会連合大会講演報告集   Sep 2016   
石岡文生, 栗原考次, 水田正弘
統計関連学会連合大会講演報告集   Sep 2016   

Association Memberships

 
 

Research Grants & Projects

 
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(基盤研究(C))
Project Year: 2008 - 2010    Investigator(s): Rikiya ONIMARU
(1) Analysis of cervical lymph node metastasis of head and neck cancer.We evaluated patterns of lymph node metastasis. We found clinically meaningful rules of patterns. It may be suggested that this method is hopeful for investigation.(2) Analysis...
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(基盤研究(A))
Project Year: 2006 - 2008    Investigator(s): Hiroki SHIRATO
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(基盤研究(B))
Project Year: 2003 - 2005    Investigator(s): Toshinari KAMAKURA
In this research we studied the issues of simultaneous statistical inference from the view point of theoretical statistics and applications and communicated with each other to develop the new methodologies for the analysis. These new ideas and dev...
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(基盤研究(B))
Project Year: 2002 - 2005    Investigator(s): Tetsuya MURAI
The final purpose of this research project is to provide an automatic indexing system and its application to image content retrieval. When we consider image retrieval and indexing, we must consider two levels of both logical (linguistic) and physi...
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(基盤研究(B))
Project Year: 2002 - 2005    Investigator(s): Masahiro MIZUTA
In most conventional data analysis methods, we assume that data set is regarded as a set of numbers with some structures, for example a set of vectors or a set of matrices etc. Nowadays, we must often analyze more complex data. One type of the com...
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(基盤研究(B))
Project Year: 2000 - 2002    Investigator(s): Kiyoshi AKAWA
1. Development of a general theory of meta-computation We developed a general theory for program synthesis based on a new class of representation called separated descriptions. We clarified the fundamental difference between program transformation...
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(基盤研究(A))
Project Year: 1999 - 2002    Investigator(s): Yoshiharu SATO
The aim of this project was to study out the possibilities and limits of statistical prediction in the practical problems. There are two situations in the statistical prediction. One is an interpolation and the other is an extrapolation. The typic...
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(基盤研究(B))
Project Year: 1997 - 2000    Investigator(s): Masahiro MIZUTA
The aim of the research is to construct a series of methods for nonlinear data analysis. Data analysis methods with algebraic curve fitting are fundamental methods in the research. We had studied algebraic curve fitting at first. We developed an a...
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(基盤研究(C))
Project Year: 1998 - 1999    Investigator(s): Yasumasa BABA
1) Descriptive multi-dimensional analysis and related problems Forced classification Nishisato, S. and Baba, Y. (1999), Behaviometrika, 26 Time dependent principal component analysis Baba, Y. and Nakamura T. (2000) will present their paper at the ...
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(試験研究(B), 基盤研究(A))
Project Year: 1995 - 1997    Investigator(s): Yoshiharu SATO
In computer science, "Visualization" is one of the most attractive keywords. "Visualization" is useful not only to reveal data but to deal with analysis processes. Statisticians are often forced to apply many methods to the same data in their anal...
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(一般研究(C))
Project Year: 1985 - 1986    Investigator(s): 齊藤 尭幸, 齊藤 堯幸, Takayuki Saito
In order to explore the complex aspects in the overall judgment of similarity or dissimilarity, this research aimed to develop a model and the scaling method and also to evaluate them.First it was found that the overall judgment process is related...
Functional Data Analysis, Relative Projection Pursuit