Updated on 2022/08/28

写真a

 
FURUKAWA Tetsuo
 
Scopus Paper Info  
Total Paper Count: 0  Total Citation Count: 0  h-index: 4

Citation count denotes the number of citations in papers published for a particular year.

Affiliation
Graduate School of Life Science and Systems Engineering Department of Human Intelligence Systems
Job
Professor
E-mail
メールアドレス
Phone
+81-93-695-6124
External link

Research Interests

  • モジュラーネットワーク

  • 脳内モデル

  • 自律行動ロボット

  • 自己組織化マップ

Post Graduate Education

  • 1989.03   Osaka University   Graduate School, Division of Engineering Science   Master's Course   Completed   Japan

Degree

  • Osaka University  -  Doctor of Engineering   1998.10

Biography in Kyutech

  • 2014.04
     

    Kyushu Institute of Technology   Graduate School of Life Science and Systems Engineering   Department of Human Intelligence Systems   Professor  

  • 2006.04
    -
    2014.03
     

    Kyushu Institute of Technology   Graduate School of Life Science and Systems Engineering   Department of Brain Science and Engineering   Professor  

Papers

  • Multi-task manifold learning for small sample size datasets Reviewed International journal

    Ishibashi H., Higa K., Furukawa T.

    Neurocomputing   473   138 - 157   2022.02

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1016/j.neucom.2021.11.043

    Scopus

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  • Visual analytics of set data for knowledge discovery and member selection support Reviewed International journal

    Watanabe R., Ishibashi H., Furukawa T.

    Decision Support Systems   152   in press   2021.07

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1016/j.dss.2021.113635

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85111295128&origin=inward

  • Tensor SOM and tensor GTM: Nonlinear tensor analysis by topographic mappings Reviewed

    ( 77 )   107 - 125   2016.05

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1016/j.neunet.2016.01.013

    Scopus

    Other Link: http://www.elsevier.com/locate/neunet

  • Shape space estimation by higher-rank of SOM Reviewed

    Sho Yakushiji and Tetsuo Furukawa

    Neural Computing and Applications   2012.06

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1007/s00521-012-1004-4

    Scopus

    Other Link: http://www.springerlink.com/content/p535v60856106u28/?MUD=MP

  • SOM of SOMs Reviewed

    Neural Networks   22 ( 4 )   463 - 478   2009.05

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)

  • Modular network SOM Reviewed

    K. Tokunaga,T. Furukawa

    Neural Networks   22   82 - 90   2009.01

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (other academic)

  • Fashion Outfit Retrieval Using Hashtag Search and Visually Assisted Browsing on Jointed Manifold Models Reviewed International journal

    Hirowatari Shuri, Ishida Takuro, Iwasaki Tohru, Furukawa Tetsuo

    ICIC Express Letters, Part B: Applications ( ICIC International )   13 ( 5 )   463 - 470   2022.05

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.24507/icicelb.13.05.463

    Scopus

    CiNii Research

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  • Simultaneous visualization of documents, words and topics by tensor self-organizing map and non-negative matrix factorization Reviewed

    Noguchi K., Ishida T., Furukawa T.

    2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020   2020.12

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/SCISISIS50064.2020.9322683

    Scopus

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  • Space-And-Cost-Efficient Neural Control /Sensory Element Using an Analog FPGA Reviewed International journal

    Kobayashi F., Furukawa T.

    Proceedings of 2019 International Conference on System Science and Engineering, ICSSE 2019   71 - 74   2019.07

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/ICSSE.2019.8823135

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072926528&origin=inward

  • Tensor self-organizing map for kansei analysis Reviewed

    Itonaga K., Yoshida K., Furukawa T.

    Proceedings of Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems in conjunction with Intelligent Systems Workshop 2018   796 - 801   2019.05

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    Japan   Toyama   2018.12.05  -  2018.12.08

    DOI: 10.1109/SCIS-ISIS.2018.00132

    Scopus

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  • Rule Extraction from Multivariable Data Based on Degree of Involvement on Component Plane of SOM

    Sasaki Masashi, Nakano Kazuhisa, Tanaka Yoshiya, Furukawa Tetsuo, Horio Keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   35 ( 0 )   549 - 553   2019.01

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)

    <p>Using SOM of SOM2(SOM 2), which is an extension method of the self-organizing map (SOM), the relationship between each class (data set) was visualized in the component plane display. We extracted the rules by comparing the components. In this study, we tried to extract the rules using data from patients with rheumatoid arthritis.</p>

    DOI: 10.14864/fss.35.0_549

    CiNii Article

    CiNii Research

    Other Link: https://ci.nii.ac.jp/naid/130007773037

  • Distance metric learning for the self-organizing map using a co-training approach Reviewed

    Yoneda K., Furukawa T.

    Proceeding of ICICIC2018   CD-ROM   2018.12

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    China  

  • Distance metric learning for the self-organizing map using a co-training approach Reviewed

    Yoneda K., Furukawa T.

    International Journal of Innovative Computing, Information and Control   14 ( 6 )   2343 - 2351   2018.12

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.24507/ijicic.14.06.2343

    Scopus

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  • Simultaneous analysis of subjective and objective data using coupled tensor self-organizing maps: Wine aroma analysis with sensory and chemical data Reviewed

    Yoneda K., Nakano K., Horio K., Furukawa T.

    International Conference on Neural Information Processing   11306 LNCS   24 - 35   2018.12

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    Cambodia   Siem Reap   2018.12.13  -  2018.12.16

    DOI: 10.1007/978-3-030-04224-0_3

    Scopus

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  • Multi-task manifold learning using hierarchical modeling for insufficient samples Reviewed

    Ishibashi H., Higa K., Furukawa T.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   11303 LNCS   388 - 398   2018.12

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    Cambodia   Siem Reap   2018.12.13  -  2018.12.16

    DOI: 10.1007/978-3-030-04182-3_34

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85059020589&origin=inward

  • Hierarchical tensor manifold modeling for multi-group analysis Reviewed International journal

    Hideaki ISHIBASHI, Masayoshi ERA, Tetsuo FURUKAWA

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences ( The Institute of Electronics, Information and Communication Engineers )   E101A ( 11 )   1745 - 1755   2018.11

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    <p>The aim of this work is to develop a method for the simultaneous analysis of multiple groups and their members based on hierarchical tensor manifold modeling. The method is particularly designed to analyze multiple teams, such as sports teams and business teams. The proposed method represents members' data using a nonlinear manifold for each team, and then these manifolds are further modeled using another nonlinear manifold in the model space. For this purpose, the method estimates the role of each member in the team, and discovers correspondences between members that play similar roles in different teams. The proposed method was applied to basketball league data, and it demonstrated the ability of knowledge discovery from players' statistics. We also demonstrated that the method could be used as a general tool for multi-level multi-group analysis by applying it to marketing data.</p>

    DOI: 10.1587/transfun.E101.A.1745

    Scopus

    CiNii Article

    CiNii Research

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  • Hierarchical tensor SOM network for multilevel multigroup analysis Reviewed

    Hideaki Ishibashi, Tetsuo Furukawa

    Proceeding of Neural Processing Letters   47 ( 3 )   1011 - 1025   2018.06

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    DOI: 10.1007/s11063-017-9643-1

  • Relationship Analysis Between Cephalometric Radiograph Shape and Swallowing Ability Using SOM<sup>2</sup> and CCA-SOM Reviewed

    KOGA Hiroaki, FURUKAWA Tetsuo, MASUI Ichiro, HORIO Keiichi

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics ( Japan Society for Fuzzy Theory and Intelligent Informatics )   30 ( 2 )   517 - 524   2018.04

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)

    <p>In this paper, we propose a method of a relationship analysis between cephalometric radiograph shape data and swallowing ability data. In order to acquire new knowledge of the relationship, the shape should be represented without missing features. In addition, a method of the relationship analysis between two data sets which are observed by different ways, an X-ray image and swallowing ability tests. Quantization and correspondence of points by SOM<sup>2</sup> are employed for shape representation. A common map of CCA-SOM are employed for the relationship analysis method. The propose method provides relationships between cephalometric radiograph shape and swallowing ability.</p>

    DOI: 10.3156/jsoft.30.2_517

    CiNii Article

    CiNii Research

    Other Link: https://www.jstage.jst.go.jp/article/jsoft/30/2/30_517/_article/-char/ja/

  • Estimation of Agent's Learning Parameters from Its Learning Process and Methodology for Design of Rewards

    International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association   23 ( 1 )   1 - 7   2018.03

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.24466/ijbschs.23.1_1

    CiNii Article

    Other Link: https://ci.nii.ac.jp/naid/130007518912

  • Comprehensive Visualization of Multi-View Relational Data by Self-Organizing Maps Reviewed

    YONEDA Keisuke, NAKANO Kirihiro, HORIO Keiichi, FURUKAWA Tetsuo

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics ( Japan Society for Fuzzy Theory and Intelligent Informatics )   30 ( 2 )   525 - 536   2018.01

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    <p>The purpose of this research is to develop a self-organizing map (SOM) which comprehensively visualizes the overall picture of multi-view relational data. In order to realize this, we extended SOM to multi-view data and made it possible to estimate the factors common to all views. This algorithm is regarded as a nonlinear extension of canonical correlation analysis by SOM. Furthermore, we tried to incorporate the developed multi-view learning algorithm into the SOM for relational data. We applied our method to wine data analysis and showed its usefulness.</p>

    DOI: 10.3156/jsoft.30.2_525

    CiNii Article

    CiNii Research

    Other Link: https://ci.nii.ac.jp/naid/130006707898

  • Reward Design Method Adapting to Agents' Learning Ability based on Self-Organizing Map with Evaluation Value

    HORIO Keiichi, MORI Ippei, FURUKAWA Tetsuo

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   34 ( 0 )   140 - 143   2018.01

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)

    <p>In education for children and guidance of sports, it is important to give appropriate instruction to learners. It is necessary to grasp the ability and characteristic of the learner by observing the learning process and to change the teaching method as needed. In this paper, we consider the learning parameter and appropriate giving rewards method, using simulation data which makes agent learn maze. For learning of the maze, we used Q-learning well known in the field of reinforcement learning. And we conducted experiments using multiple agents with different learning parameters. Agent behavior data at the middle stage of learning is classified by SOM and learning parameters are estimated. After that, we change the giving rewards method, and consider it according to the learning parameters from learning result.</p>

    DOI: 10.14864/fss.34.0_140

    CiNii Article

    CiNii Research

  • Multi Layered Self-Organizing Map Propagating Semantic Information and its Application to Shape Clustering

    HORIO Keiichi, MIZUTANI Ryuki, FURUKAWA Tetsuo

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   34 ( 0 )   442 - 445   2018.01

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    <p>The annotation of classification process when classifying the situation in automatic driving technology is said to be indispensable for fulfilling accountability when automatic driving vehicle caused an accident. It is possible to classify the situation by the local region by making the self-organizing map into multiple layers. Cognitive processes can be visualized by annotating the classification process by tracing the winner from the classified situation.In this paper, we classify road conditions using multi-layered selforganizing map and show the possibility of visualization of cognitive process in automatic driving technique by automating its annotation.</p>

    DOI: 10.14864/fss.34.0_442

    CiNii Article

    CiNii Research

  • Multilevel-Multigroup Analysis Discovering Member Correspondence between Groups Reviewed

    Proceedings of 2017 International Workshop on Smart Info-Media Systems in Asia   2017.09

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    日本   大宰府市   2017.09.06  -  2017.09.08

  • Childrens' Characteristic Analysis in Group Discussion Using Tensor SOM Reviewed

    Yuji Watanabe, Takashi Omori, Tetsuo Furukawa and Keiichi Horio

    Proceedings of International Workshop on Smart Info-Media Systems in Asia   2017.09

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    日本   大宰府市   2017.09.06  -  2017.09.08

  • Simultaneous Kansei Analysis of Evaluators, Objects and Words by Tensor SOM Reviewed

    ITONAGA Kyouhei, IWASAKI Tohru, UEMURA Yohei, YOSHIDA Kaori, FURUKAWA Tetsuo

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics ( Japan Society for Fuzzy Theory and Intelligent Informatics )   29 ( 6 )   661 - 669   2017.01

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    <p>The aim of this research is to develop a method for kansei analysis. The proposed method using Tensor SOM generates three maps, which are the low dimensional visualizations of the evaluators, the evaluation objects, and the evaluation words. Furthermore it is also possible to visualize the relationships between them by coloring the maps. We applied the method to a kansei analysis of landscape images, and it showed us what kind of impression each image has and how the impression varies depending on the evaluators. Finally, we applied this method to a practical task in which we analyzed the instrument panel designs of automobiles.</p>

    DOI: 10.3156/jsoft.29.6_661

    CiNii Article

    CiNii Research

    Other Link: https://ci.nii.ac.jp/naid/130006250681

  • Consideration of Shape Classification in Relationship Analysis between Maxillofacial Skeleton and Swallowing Function

    KUROIWA Masashi, KOGA Hiroaki, MASUI Ichiro, FURUKAWA Tetsuo, HORIO Keiichi

    Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association ( Biomedical Fuzzy Systems Association )   30 ( 0 )   76 - 79   2017.01

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)

    <p><i>this study aims to classify the shape of maxillofacial skeleton and find relationships between maxillofacial skeleton and swallowing function</i><tt><i>.</i></tt><i>We used SOM</i><sup><i>2</i></sup><i> for the shape classification and CCA-SOM for search the relationships</i><tt><i>.</i></tt><i>Previously</i><tt><i>,</i></tt><i>We use shape address for CCA-SOM</i><tt><i>.</i></tt><i>But We tried to use SOM</i><sup><i>2</i></sup><i>'s unit for CCA-SOM</i><tt><i>.</i></tt><i>Results show that We cannot find the relationships by using both methods</i><tt><i>.</i></tt><i>Next plan is execute CCA-SOM by using less-dimension maxillofacial skeleton data.</i><i> </i></p>

    DOI: 10.24466/pacbfsa.30.0_76

    CiNii Article

    CiNii Research

    Other Link: https://ci.nii.ac.jp/naid/130007979941

  • ′ Estimation of Agent s Learning Parameters from its Learning Process and Methodology for Design of Rewards

    MORI Ippei, FURUKAWA Tetsuo, HORIO keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   33 ( 0 )   559 - 564   2017.01

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    <p> </p>

    DOI: 10.14864/fss.33.0_559

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    CiNii Research

    Other Link: https://ci.nii.ac.jp/naid/130007612180

  • Scene Classification and Automatic Annotation Based on Multi-layered Self-Organization Map

    MIZUTANI Ryuki, FURUKAWA Tetsuo, HORIO Keiichi

    Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics )   33 ( 0 )   675 - 678   2017.01

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)

    <p> </p>

    DOI: 10.14864/fss.33.0_675

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    CiNii Research

  • Self-Organizing Maps for Multi-system and Multi-view Datasets Reviewed

    Ishibashi H., Furukawa T.

    Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016   343 - 348   2016.12

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    日本   札幌   2016.08.25  -  2016.08.28

    DOI: 10.1109/SCIS-ISIS.2016.0078

    Scopus

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  • Rating-Scale Questionnaire Survey Analysis Using SOM-Based Nonlinear Tensor Decomposition Reviewed

    2016.12

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    日本   札幌   2016.08.25  -  2016.08.28

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85010366338&origin=inward

  • Shape Classification of Cephalometric Radiograph Using TFSOMxSOM for Swallowing Function Analysis Reviewed

    Hiroaki Koga, Tetsuo Furukawa, Ichiro Masui, Keiichi Horio

    Proc. of International Workshop on Smart Info-Media Systems in Asia   263 - 268   2016.09

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    Thailand   Ayutthaya   2016.09.14  -  2016.09.17

  • Shape classification of maxillofacial skeleton using TFSOM×SOM

    KOGA Hiroaki, FURUKAWA Tetsuo, MASUI Ichiro, KUROIWA Masashi, HORIO Keiichi

    Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association ( Biomedical Fuzzy Systems Association )   29 ( 0 )   145 - 148   2016.01

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    <p><i>This study aims to classify the shape of maxillofacial skeleton and analyze swallowing function. We used TFSOM×SOM for the shape classification. We used CCA-SOM for the</i> <i>swallowing function analysis. The results show that this method can classify cephalometric radiograph according to some features of the shape, and We obtained swallowing function map.</i></p>

    DOI: 10.24466/pacbfsa.29.0_145

    CiNii Article

    CiNii Research

    Other Link: https://ci.nii.ac.jp/naid/130007979841

  • Multilevel–multigroup analysis using a hierarchical tensor SOM network Reviewed International journal

    Ishibashi H., Shinriki R., Isogai H., Furukawa T.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   9949 LNCS   459 - 466   2016.01

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1007/978-3-319-46675-0_50

    Kyutacar

    Scopus

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  • Analysis of the MovieLens dataset using Tensor SOM

    DATE Yosuke, WAKITA Yasuhiro, IWASAKI Toru, FURUKAWA Tetsuo

    IEICE technical report. Neurocomputing ( The Institute of Electronics, Information and Communication Engineers )   113 ( 500 )   63 - 68   2014.03

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)

    Tensor SOM is an extension of Self-Organizing Map (SOM) from vectorial data to tensorial ones. The aim of this paper is to apply Tensor SOM to the MovieLens dataset, which is a popular benchmark of recommendation systems. The MovieLens dataset consists of rating data of movie titles scored by respondents, with their attribution information. By applying Tensor SOM, the dataset was visualized by a pair of maps, i.e., the maps of the movies and the respondents, as well as visualizing the relation between them. It was also succeeded to estimate missing scores, suggesting that the Tensor SOM can be used as a recommendation system.

    CiNii Article

    Other Link: https://ci.nii.ac.jp/naid/110009862335

  • Simultaneous acquisitions of forward and inverse models using a self-evolving adaptive controller Reviewed

    8 ( 3 )   901 - 906   2014.02

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  • On-line Building a Hybrid Map for Autonomous Robot Using Self-Evolving Modular Network Reviewed

    Nobuyuki Kawabata, Kazuhiro Tokunaga, Tetsuo Furukawa

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   25 ( 2 )   659 - 675   2013.06

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    Language:Japanese   Publishing type:Research paper (scientific journal)

    DOI: 10.3156/jsoft.25.659

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  • On-line Building a Hybrid Map for Autonomous Robot Using Self-Evolving Modular Network Reviewed

    Makoto Otani, Tetsuo Furukawa

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   25 ( 2 )   701 - 720   2013.06

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    Language:Japanese   Publishing type:Research paper (scientific journal)

    DOI: 10.3156/jsoft.25.701

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  • Research on multi-system learning theory: A case study of Brain-Inspired System research Reviewed

    311 - 314   2012.12

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/SCIS-ISIS.2012.6505252

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  • Self Evolving Modular Network Reviewed

    Kazuhiro Tokunaga, Nobuyuki Kawabata, Tetsuo Furukawa

    IEICE TRANSACTIONS on Information and Systems   E95-D ( 5 )   1506 - 1518   2012.05

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1587/transinf.E95.D.1506

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  • 高階化SOMによる形状表現マップ Reviewed

    薬師寺 翔,古川 徹生

    知能と情報(日本知能情報ファジィ学会誌)   24 ( 2 )   648 - 659   2012.04

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  • Shape Space Estimation by SOM2 Reviewed

    Sho Yakushiji, Tetsuo Furukawa

    Proceedings of 2011 International Conference on Neural Information Processing   7063   618 - 627   2011.11

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    Japan   Hokkaido   2011.11.14  -  2011.11.17

    DOI: 10.1007/978-3-642-24958-7_72

    Scopus

  • Requirements for the Learning of Multiple Dynamics Reviewed

    Takashi Ohkubo, Tetsuo Furukawa, Kazuhiro Tokunaga

    Proceedings of 8th International Workshop on Self-Organizing Maps   6731   101 - 110   2011.06

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    Finland   Espoo   2011.06.13  -  2011.06.15

    DOI: 10.1007/978-3-642-21566-7_10

    Scopus

  • Multi- dynamics learning algorithm based on SOM2 Reviewed

    S. Matsushita, T. Ohkubo, T. Furukawa

    Proceedings of the 3rd International Conference on Congnitive Neurodynamics   180 - 180   2011.06

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    Japan   Hokkaido   2011.06.09  -  2011.06.13

  • The self-organizing adaptive controller Reviewed

    7 ( 4 )   1933 - 1947   2011.04

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  • The self-organizing adaptive controller Reviewed

    T. Minatohara,T. Furukawa

    International Journal of Innovative Computing, Information and Control   7 ( 4 )   2011.04

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  • Building a cognitive map using an SOM2 Reviewed

    K. Tokunaga,T. Furukawa

    Mobile Robotics & Intelligent Systems (JAMRIS)   4 ( 2 )   39 - 47   2010.03

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  • An Adaptive Controller System Using mnSOM (2nd Report: Implementation into an Autonomous Underwater Robot) Reviewed

    Y.Takemura,M.Ishitsuka,S.Nishida,K.Ishii,T.Furukawa

    Studies in Computational Intelligence   266   91 - 96   2010.03

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  • Some Learning Properties of Modular Network SOMs Reviewed

    Manabu Takeda,Kazushi Ikeda,Tetsuo Furukawa

    SICE Journal of Control, Measurement, and System Integration   3 ( 1 )   15 - 19   2010.01

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  • The introduction of the brain-inspired systems Reviewed

    Kiyohisa Natsume,Tetsuo Furukawa

    The proceedings of NOLTA'09   CD-ROM   195 - 197   2009.10

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    札幌市   2009.10.18  -  2009.10.21

  • 高階自己組織化マップのハードウェア化~知識表現を自己組織化するハードウェアの開発~ Reviewed

    金子宗司,田向権,徳永憲洋,古川徹生

    知能と情報(日本知能情報ファジィ学会誌)   21 ( 5 )   870 - 883   2009.10

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    主要雑誌

  • RBFxSOM: An efficient algorithm for large-scale multi-system learning Reviewed

    T. Ohkubo,K. Tokunaga,T. Furukawa

    IEICE Transactions on Information and Systems   E92-D ( 7 )   1388 - 1396   2009.07

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  • Line image classification by NGxSOM : Application to handwritten character recognition Reviewed

    M. Otani,K. Gunya,T. Furukawa

    Lecture Notes in Computer Science   5629   219 - 227   2009.06

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  • Task segmentation in a mobile robot by mnSOM and clustering with spatio-temporal contiguity Reviewed

    M. Aziz Muslim ,Masumi Ishikawa,Tetsuo Furukawa

    International Journal of Innovative Computing, Information and Control (IJICIC)   15 ( 4 )   865 - 875   2009.04

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  • A class density approximation neural network for improving the generalization of Fisherface Reviewed

    Jiayan Jianga,Liming Zhanga,Corresponding,Tetsuo Furukawa

    Neurocomputing   71 ( Issues 16-18 )   3239 - 3246   2008.10

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  • 適応性と汎化性を考慮した自己組織化適応制御 Reviewed

    湊原哲也,古川徹生

    電子情報通信学会和文論文誌   91-D ( 4 )   1142 - 1149   2008.04

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  • Generalized SOM as a Foundation of Brain-like Intelligence Reviewed

    The 4th International Conference on Brain-Inspired Information Technology (BrainIT2007)   2007.11

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    Kitakyushu   2007.11.14  -  2007.11.16

  • An adaptive controller system using mnSOM(2nd report: Implementation into an autonomous underwater robot) Reviewed

    Y. Takemura,M. Ishikawa,S. Nishida,K. Ishii,T. Furukawa

    The 4th International Conference on Brain-Inspired Information Technology (BrainIT2007)   2007.11

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    Kitakyushu   2007.11.14  -  2007.11.16

  • RoboCity: An Experimental Environment for Mobile Robots Reviewed

    K. Ishii,T. Miki,T. Furukawa

    The 4th International Conference on Brain-Inspired Information Technology (BrainIT2007)   2007.11

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    Kitakyushu   2007.11.14  -  2007.11.16

  • Task segmentation in a mobile robot by mnSOM and clustering with spatio-temporal contiguity Reviewed

    M. Aziz Muslim,Masumi Ishikawa,Tetsuo Furukawa

    14th International Conference on Neural Information Processing (ICONIP2007)   Revised Selected Papers Part II"   1075 - 1084   2007.11

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    北九州市   2007.11.13  -  2007.11.16

  • Task segmentation in a mobile robot by mnSOM: a new approach to training expert modules Reviewed

    M. Aziz Muslim,M. Ishikawa,T. Furukawa

    Neural Computing & Applications   16 ( 6 )   571 - 580   2007.10

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  • Task Segmentation in a Mobile Robot by mnSOM and Hierarchical Clustering Reviewed

    Muhammad Aziz Muslim,Masumi Ishikawa,Tetsuo Furukawa

    6th Int. Workshop on Self-Organizing Maps (WSOM 2007)   2007.09

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    Bielefeld/Germany   2007.09.03  -  2007.09.06

  • Modular Network SOM and Self-Organizing Homotopy Network as a Foundation for Brain-like Intelligence Reviewed

    6th Int. Workshop on Self-Organizing Maps (WSOM 2007)   2007.09

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    Bielefeld/Germany   2007.09.03  -  2007.09.06

  • Self-Organizing Homotopy Network Reviewed

    6th Int. Workshop on Self-Organizing Maps (WSOM 2007)   2007.09

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    Bielefeld/Germany   2007.09.03  -  2007.09.06

  • Modular network self-organization map: Can it be an artificial coetex? Reviewed

    T. Furukawa,K. Tokunaga,S. Yasui,H. Tamukoh,K. Ishii,K. Horio,K. Natsume

    International Congress Series   1301   43 - 47   2007.07

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  • Adaptability of mnSOM-based control system to changing dynamic property Reviewed

    S. Nishida,K. Ishii,T. Furukawa

    International Congress Series   1301   197 - 200   2007.07

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  • Brain-inspired emergence of behaviors in mobile robots Reviewed

    M. Ishikawa,K. Ishii,T. Yamakawa,M. Nagamatsu,H. Nakagawa,H. Zhang,T. Furukawa

    International Congress Series   1301   48 - 51   2007.07

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  • Self Organizing homotopy networks: Comparisons among modlar networks SOM. SOM of SOMs and parametric bias method Reviewed

    T. Ohkubo,K. Tokunaga,T. Furukawa

    International Congress Series   1301   168 - 171   2007.07

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  • An on-line algorithm for generation of stable mapping in a generalized modular network SOM Reviewed

    K. Tokunaga,T. Furukawa

    International Congress Series   1301   164 - 167   2007.07

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  • A new development of self-organizing maps realized through a marriage with modular-networks Reviewed

    T. Furukawa,K. Tokunaga

    Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence (FOCI 2007)   637 - 644   2007.04

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    Hawaii, U.S.A   2007.04.01  -  2007.04.05

  • mnSOMを利用した自己組織的並列計算手法の開発

    林田誠也,徳永憲洋,古川徹生

    電子情報通信学会技術報告, 北海道   NC2006-107   41 - 46   2007.03

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  • Training expert modules for a mobile robot using mnSOM Reviewed

    M.A.Muslim,T.Furukawa

    International Congress Series   1301   172 - 175   2007.01

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  • Training Expert Modules for a Mobile Robot using mnSOM Reviewed

    M. Aziz,M. Ishikawa,T. Furukawa

    Abstracts of The Third International Conference on Brain-Inspired Information Technology   73 - 73   2006.11

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    2006.11.11  -  2006.11.11

  • An Online Adaptation Control System Using mnSOM Reviewed

    S. Nishida,K. Ishii,T. Furukawa

    Lecture Notes in Computer Science   4232   935 - 942   2006.11

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  • Generalization of the self-organizing map: From artificial neural networks to artificial cortexes, Reviewed

    T. Furukawa,K. Tokunaga

    Lecture Notes in Computer Science(Edited book of 13th International Conference of Neural Information Processing (ICONIP2006))   4232   943 - 949   2006.10

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    China   Hong Kong   2006.10.03  -  2006.10.06

  • SOM of SOMs : An Extension of SOM from `Map' to `Homotopy' Reviewed

    Lecture Notes in Computer Science(Edited book of 13th International Conference of Neural Information Processing (ICONIP2006))   4232   950 - 957   2006.10

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    China   Hong Kong   2006.10.03  -  2006.10.06

  • An Online Adaptation Control System Using mnSOM Reviewed

    S. Nishida,K. Ishii,T. Furukawa

    Lecture Notes in Computer Science(Edited book of 13th International Conference of Neural Information Processing (ICONIP2006))   4232   935 - 942   2006.10

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    China   Hong Kong   2006.10.03  -  2006.10.06

  • Modular network SOM: Theory, algorithm and applications, Reviewed

    K. Tokunaga,T. Furukawa

    Lecture Notes in Computer Science(Edited book of 13th International Conference of Neural Information Processing (ICONIP2006))   4232   pp.958 - 967   2006.10

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    China   Hong Kong   2006.10.03  -  2006.10.06

  • Improving the Generalization of Fisherface by Training Class Selection Using SOM2 Reviewed

    J. Jiang,L. Zhang,T. Furukawa

    Lecture Notes in Computer Science(Edited book of 13th International Conference of Neural Information Processing (ICONIP2006))   4233   278 - 285   2006.10

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    China   Hong Kong   2006.10.03  -  2006.10.06

  • Modular Network Self-Organizing Map: -Can it be an artificial cortex?- PDF Reviewed

    T. Furukawa,K. Tokunaga,S. Yasui,H. Tamukoh,K. Ishii,M. Ishikawa,K. Horio,K. Natsume

    Abstracts of The Third International Conference on Brain-Inspired Information Technology   34 - 34   2006.09

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    Kitakyushu   2006.09.27  -  2006.09.29

  • Self-Organizing Map of Neural Gas Networks for Shape Classification : Application to Handwritten Character Recognition, Reviewed

    M. Otani,T. Furukawa

    Abstracts of The Third International Conference on Brain-Inspired Information Technology   71 - 71   2006.09

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    Kitakyushu   2006.09.27  -  2006.09.29

  • Self-Organizing Homotopy Networks: Comparisons Between Modular Network SOM, SOM of SOMs, and Parametric Bias Method. Reviewed

    T. Ohkubo,K. Tokunaga,T. Furukawa

    Abstracts of The Third International Conference on Brain-Inspired Information Technology   72 - 72   2006.09

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    Kitakyushu   2006.09.27  -  2006.09.29

  • The online algorithm for generation of stability mapping in generalized modular network Reviewed

    K. Tokunaga,T. Furukawa

    Abstracts of The Third International Conference on Brain-Inspired Information Technology   70 - 70   2006.09

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    Kitakyushu   2006.09.27  -  2006.09.29

  • Adaptability of mnSOM Based Control System to Changing Dynamic Property Changes. Reviewed

    S. Nishida,K. Ishii ,T. Furukawa

    Abstracts of The Third International Conference on Brain-Inspired Information Technology   81 - 81   2006.09

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    Kitakyushu   2006.09.27  -  2006.09.29

  • Development of a Control System for Autonomous Underwater Vehicles using mnSOM Reviewed

    S. Nishida,K. Ishii,T. Furukawa

    Proceedings of Joint 3rd International Conference on Soft Conputing and Intelligent Systems and 7th International Symposium on advanced Intelligent Systems(SCIS&ISIS06)(CD-ROM),2006   587 - 592   2006.09

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    東京   2006.09  -  2006.09

  • Manifold Classification by the Modular Network Self-Organizing Maps Reviewed

    T. Furukawa,K. Tokunaga,M. Otani

    Proceedings of International Symposium on Artificial Brain with Emotion and Learning   151 - 151   2006.08

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    Krea   Soul   2006.08.24  -  2006.08.25

  • Synaptic plasticity and 4-aminopyridineinduced epileptic discharges in rat hippocampal slices Reviewed

    Otani. M,Furukawa. T,Natsume. K

    NEUROSCIENCE RESEARCH, Neurosci2006   55 (Supl. 1)   S137-PS1P-J177   2006.07

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    京都   2006.07.19  -  2006.07.21

  • A New Approach to Task Segmentation in Mobile Robots by mnSOM Reviewed

    Muhammad Aziz Muslim,Masumi Ishikawa,Tetsuo Furukawa

    IEEE World Congress on Computational Intelligence   6542 - 6549   2006.07

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    2006.07  -  2006.07

  • An adaptive controller system using mnSOM Reviewed

    S. Nishida,K. Ishii,T. Furukawa

    International Congress Series   1291   181 - 184   2006.06

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  • Nonlinear adaptive subspace SOM implemented by a modular network SOM Reviewed

    K. Tokunaga,T. Furukawa

    International Congress Series(Edited book of Brain-Inspired IT Ⅱ Decision and Behavioral Choice Organized by Natural and Artificial Brains)   1291   173 - 176   2006.06

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    Kitakyushu   2006.06  -  2006.06

  • An Adaptive Neural Network Control System using mnSOM Reviewed

    S. Nishida,K. Ishii,T. Furukawa

    Proceedings of IEEE Oceans Asia Pacific '06 (CD-ROM)   1 - 6   2006.05

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    2006.05  -  2006.05

  • 水中ロボットにおける自己組織的行動獲得システム -第一報:自己組織化マップを用いた運動制御システムの提案- Reviewed

    西田周平,石井和男,古川徹生

    日本船舶海洋工学会論文集 第3号   ( 3 )   205 - 213   2006.04

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  • 一般化自己組織化マップ ~ 教師あり学習と教師なし学習の融合 ~

    徳永憲洋,古川徹生

    電子情報通信学会技術報告, 沖縄   NC2006-35   75 - 80   2006.04

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  • 自己組織化マップ集合の自己組織化マップ ~ 「束学習」をめざして ~

    古川徹生

    電子情報通信学会技術報告, 沖縄   NC2006-34   69 - 74   2006.04

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  • Modular Network SOM: Self-Organizing Maps in Function Space Reviewed

    K. Tokunaga,T. Furukawa,S. Yasui

    Neural Information Processing - Letters and Reviews   9 ( 1 )   15 - 22   2005.10

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  • An adaptive controller system using mnSOM Reviewed

    S. Nishida,K. Ishii,T. Furukawa

    2nd International Conference on Brain-inspired Information Technology (BrainIT2005)   85 - 85   2005.10

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    2005.10  -  2005.10

  • A proposal of self-organizing adaptive controller (SOAC) Reviewed

    T. Minatohara,T. Furukawa

    2nd International Conference on Brain-inspired Information Technology (BrainIT2005)   56 - 56   2005.10

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    2005.10  -  2005.10

  • Realizing the nonlinear adaptive subspace SOM (NL-ASSOM) Reviewed

    K. Tokunaga,T. Furukawa

    2nd International Conference on Brain-inspired Information Technology (BrainIT2005)   76 - 76   2005.10

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    2005.10  -  2005.10

  • SOM of SOMs: Self-Organizing Map Which Maps a Group of Self-Organizing Maps Reviewed

    Lecture Notes in Computer Science   3696   391 - 396   2005.09

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  • SOM2 as "SOM of SOMs" Reviewed

    5th Workshop on Self-Organizing Maps (WSOM05)   545 - 552   2005.09

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    France   Paris   2005.09  -  2005.09

  • Modular Network SOM: The Architecture, the Algorithm and pplications to Nonlinear Dynamical Systems Reviewed

    S. Kaneko,K. Tokunaga,T. Furukawa

    5th Workshop on Self-Organizing Maps (WSOM05)   537 - 544   2005.09

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    France   Paris   2005.09  -  2005.09

  • Nonlinear ASSOM constituted of autoassociative neural modules Reviewed

    K. Tokunaga,T. Furukawa

    5th Workshop on Self-Organizing Maps (WSOM05)   637 - 644   2005.09

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    France   Paris   2005.09  -  2005.09

  • Batch Learning Algorithm of SOM with Attractive and Repulsive Data Reviewed

    T. Furukawa,S. Sonoh,K. Horio,T. Yamakawa

    5th Workshop on Self-Organizing Maps (WSOM05)   413 - 420   2005.09

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    France   Paris   2005.09  -  2005.09

  • Self-organizing adaptive controllers: Application to the inverted pendulum Reviewed

    T. Minatohara,T. Furukawa

    5th Workshop on Self-Organizing Maps (WSOM05)   537 - 544   2005.09

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    France   Paris   2005.09  -  2005.09

  • Modular network SOM (mnSOM): From vector space to function space Reviewed

    T. Furukawa,K. Tokunaga,K. Morishita,S. Yasui

    International Joint Conference on Neural Networks 2005 (IJCNN2005)   2005.08

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    Canada   2005.07.31  -  2005.08.04

  • modular network SOMによる自己組織化適応制御器: 倒立振子への応用

    湊原哲也,古川徹生

    電子情報通信学会技術報告(ニューロコンピューティング)   NC2005-16   49 - 54   2005.06

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  • 関数空間型SOM Reviewed

    徳永憲洋,肝付謙二,安井湘三,古川徹生

    日本神経回路学会誌   12 ( 1 )   39 - 51   2005.04

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  • モジュラーネットワークSOMによる音階のマッピング

    森山健一郎,徳永憲洋,安井湘三,古川徹生

    電子情報通信学会技術研究報告   MBE2004-81   33 - 36   2005.01

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  • Generalized self-organizing maps (mnSOM) for dealing with dynamical systems Reviewed

    T. Furukawa,K. Tokunaga,S. Kaneko,K. Kimotsuki,S. Yasui

    2004 International Symposium on Nonlinear Theory and its Applications (NOLTA2004)   231 - 234   2004.12

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    Fukuoka   2004.11.29  -  2004.12.03

  • モジュラー型自己組織化マップ(mnSOM)によるBVP神経モデルの分岐構造マッピング

    金子宗司,安井湘三,古川徹生

    電子情報通信学会技術研究報告   NLP2004-72 NC2004-88   29 - 34   2004.11

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  • 網膜Transient型アマクリン細胞の光応答特性とメカニズム

    古川徹生,安井湘三

    電子情報通信学会技術研究報告   MBE99-128   23 - 30   2004.04

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  • モジュラーネットワーク型SOMによる3次元物体集合の自己組織化マップ

    森下健司,徳永憲洋,安井湘三,古川徹生

    電子情報通信学会技術研究報告   NC2004   2004.03

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  • モジュラーネットワーク型SOM: 動的システム群の自己組織化マップ

    肝付謙二,徳永憲洋,古川徹生,安井湘三

    電子情報通信学会技術研究報告   NC2003-141   35 - 40   2004.03

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  • Asymmetric temporal properties in the receptive field of retinal transient amacrine cells Reviewed

    K. Djupsund,T. Furukawa,S. Yasui,M. Yamada

    J. Gen. Physiol.   122   2003.10

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  • モジュラーネット型SOM: 関数空間におけるシステム群の自己組織化マップ

    徳永憲洋,古川徹生,安井湘三

    電子情報通信学会技術研究報告   NC2003-17   31 - 36   2003.06

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  • Modular network SOM: Extension of SOM to the realm of function space Reviewed

    K. Tokunaga,T. Furukawa,S. Yasui

    Workshop on Self-Organizing Maps 2003   173 - 178   2003.04

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    2003.04  -  2003.04

  • SOM型モジュラーネットワーク

    徳永憲洋,古川徹生,安井湘三

    電子情報通信学会技術研究報告   NC2002-130   79 - 83   2003.02

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  • 競合型モジュラーネットワークによる気象データ分類とモデル推定

    齊藤光俊,古川徹生,安井湘三

    電子情報通信学会技術研究報告:ニューロコンピューティング   ( 130 )   85 - 89   2003.02

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  • Nitric oxide controls the light adaptive chromatic difference in receptive field size of H1 horizontal cell network in carp retina Reviewed

    T. Furukawa,R. Petruv,S. Yasui,M. Yamada,M.B. Djamgoz

    Experimental Brain Research   147 ( 3 )   296 - 304   2002.12

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  • Picture blind source separation by auto-encoder identity mapping with structural pruning Reviewed

    S. Yasui,S. Takahashi,T. FURUKAWA

    9th International Conference on Neural Information Processing   1393 - 1397   2002.11

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    Singapore   2002.11.18  -  2002.11.22

  • Asymmetric temporal properties in the receptive field of transient amacrine cells in carp retina

    M. Yamada,M. Iwasaki,T. Furukawa,S. Yasui,K. Djupsund

    The Keio Journal of Medecine   51   59 - 59   2002.09

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  • データのクラス振分けとクラス別モデルの同時推定法 Reviewed

    古川 徹生

    日本神経回路学会誌   9 ( 2 )   92 - 102   2002.06

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    Language:Japanese   Publishing type:Research paper (other academic)

    主要雑誌 代表的研究業績

  • Demand for information supporting people with Down syndrome: Access activity of the Down Syndrome Data Library on the Internet

    T. Furukawa,J. Tatsumi,E. Momotani,I. Fukunaga,Y. Kuroki,H. Takebe

    Congenital Anomalies   41 ( 3 )   252 - 252   2001.09

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    Language:English   Publishing type:Research paper (other academic)

  • A support model for people with congenital hadicaps by the Japan Down Syndrome Network (JDSN)

    E. Momotani,J. Tatsumi,T. Furukawa,I. Fukunaga,H. Numabe,H. Ohashi,Y. Miyanomae,H. Takebe

    Congenital Anomalies   41 ( 3 )   252 - 252   2001.09

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    Language:English   Publishing type:Research paper (other academic)

  • ボルツマンマシンによるモデル選択: 確率的動作と期待値動作

    古川 徹生

    電子情報通信学会技術研究報告   NC2001-30   57 - 64   2001.06

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    Language:Japanese   Publishing type:Research paper (other academic)

  • インターネットにおけるダウン症データライブラリの運営と展開 Reviewed

    古川徹生,巽純子,百渓英一,溝口佳寛,武部啓

    医療情報学   21 ( 1 )   41 - 46   2001.04

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    代表的研究業績

  • コイ網膜アマクリン細胞における一過性光応答の時空間特性

    冨田圭,古川徹生,山田雅弘,安井湘三

    電子情報通信学会技術研究報告   MBE2000-148   15 - 22   2001.03

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  • Effects of nitric oxide, light adaptation and APB on special characteristics of H1 horizontal cells Reviewed

    M.Yamada(Electrotechnical Lab),S.P.Fraser(London Univ),T.Furukawa,H.Hirasawa,K.Kaneko,M.B.A.Djamgoz(London Univ),S.Yasui

    Neuroscience Research   35 ( 4 )   309 - 319   1999.04

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  • Modulation of chromatic difference in receptive field size of H1 horizontal cells in the carp retina: Dopamine- and APB-sensitive mechanism Reviewed

    M.B.A.Djamgoz(Imperial College),R. Petruv(Imperial College),T.Furukawa,S.Yasui,M.Yamada

    Neuroscience Research   30 ( 0 )   13 - 24   1998.04

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  • 視覚画像中の運動検出学習により発現する線形時空間フィルタの機能と構造 Reviewed

    古川徹生,安井湘三

    電子情報通信学会論文誌   J80-D-II ( 10 )   2671 - 2683   1997.04

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    主要雑誌

  • Nitric oxide, 2-amino-4-phosphonobutyric acid and light/dark adaptation modulate short-wavelength-sensitive synaptic transmission to retinal horizontal cells Reviewed

    T. Furukawa,M. Yamada,R. Petruv,M.B.A. Djamgoz,S. Yasui

    Neuroscience Research   27   65 - 74   1997.04

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  • Control of receptive field size in retinal horizontal cells: Direct modulation of gap junctional conductance and plasticity of photoreceptor synaptic input Reviewed

    M. Yamada,S. Yasui,T. Furukawa,R. Petruv,M.B.A. Djamgoz

    Progress in Cell Research   4   269 - 272   1995.04

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Conference Prsentations (Oral, Poster)

  • Simultaneous Meta- modeling of Dynamics and Kinematics based on the Hierarchical Manifold Modeling

    Daiki Tanka, Hideaki Ishibashi and Tetsuo Furukawa

    第3回ニューロモルフィックAIハードウェア国際シンポジウム  2022.03  ニューロモルフィックAIハードウェア研究センター

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    Event date: 2022.03.18 - 2022.03.19   Language:English   Country:Japan  

  • Meta-modeling of manifold models for dynamical systems through biased optimal transport distance minimization

    Seitaro Nakashima, Hideaki Ishibashi, andTetsuoFurukawa

    第3回ニューロモルフィックAIハードウェア国際シンポジウム  2022.03  ニューロモルフィックAIハードウェア研究センター

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    Event date: 2022.03.18 - 2022.03.19   Language:English   Country:Japan  

  • Sparse approximation of unsupervised kernel regressionfor large scale relational data

    KazukiMiyazaki and Hideaki Ishibashi and Tetsuo Furukawa

    第3回ニューロモルフィックAIハードウェア国際シンポジウム  2022.03  ニューロモルフィックAIハードウェア研究センター

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    Event date: 2022.03.18 - 2022.03.19   Language:English   Country:Japan  

  • Scalable manifold modeling by Nadaraya-Watson kernel regression

    Kazuki Miyazaki, Shuhei Takano, Ryo Tsuno, Hideaki Ishibashi, Tetsuo Furukawa

    The 15th International Conference on Innovative Computing, Information and Control 

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    Event date: 2021.09.15 - 2021.09.16   Language:English  

    The purpose of this study is to develop a method for scalable manifold modeling. A popular method using Gaussian process regression requires a computational cost of the cubic order for data size, which does not afford to apply large-scale datasets. We aim to achieve the linear order in computational cost using Nadaraya-Watson kernel regression and its sparse approximation instead of using the Gaussian process regression. The proposed method also enables us to leverage mini-batch or parallel processing for further acceleration. In this report, we introduce the proposed method and show some experimental results.

  • Fashion outfit retrieval via hashtag search and visually-assisted browsing on jointed manifold models

    Shuri Hirowatari, Takuro Ishida, Tohru Iwasaki, Tetsuo Furukawa

    The 15th International Conference on Innovative Computing, Information and Control 

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    Event date: 2021.09.15 - 2021.09.16   Language:English  

    In the fashion domain, the demand for outfit retrieval on social media and e-commerce sites is increasing. The most popular approach to this is searching outfits by hashtags, which has several limitations. First, users do not always know appropriate hashtags for their search intention. Second, the hashtags given by posters are usually incomplete and inconsistent. Finally, it is not easy to browse when a large number of outfits share a hashtag. The purpose of this study is to develop a method for visually-assisted fashion outfit retrieval. Specifically, the method enables users to search outfits via visually arranged hashtags in the two-dimensional space, namely, the tag map, and browse outfits visually arranged in the outfit map. For this purpose, we use an approach where jointed manifolds in style and hashtag spaces model the outfit data. In this report, we introduce the proposed method and some demonstrations of the developed system.

  • What is the true objective of multi-task manifold modeling? -- Comparison of maximum likelihood and optimal transport approaches --

    Ryo Tsuno, Hideaki Ishibashi, Tetsuo Furukawa

    Technical Committee on Neurocomputing  

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    Event date: 2021.03.03 - 2021.03.05   Language:English  

  • Unsupervised Kernel Regression with Landmarks for Large Relational Data ~ Toward Visual Analytics Method for Complex Relational Data ~

    高野修平, 津野龍, 野口科瑞稀, 宮崎一希, 古川徹生

    ニューロコンピューティング研究会  電子情報通信学会

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    Event date: 2021.01.21 - 2021.01.22   Language:English  

    本研究の目的は,大規模関係データの非線形モデリングおよび視覚的解析の手法を開発することである.関係データでは小規模の解析対象であってもデータが大規模化しやすいため,高速かつ効率の良い計算手法が不可欠である.本研究では教師なしカーネル回帰を関係データに拡張するとともに,潜在空間にランドマークを導入してスパース近似を行った.これにより,データ数に対し線形な計算オーダーが実現できた.われわれの目的は大規模な複合関係データを対話的・視覚的に解析する汎用的なvisual analyticsの手法を開発することであり,本提案法はその基盤となるものである.

  • Visualization of document-word relation by modeling their joint probability on latent spaces

    Takuro Ishida, Keisuke Yoneda, Hajime Hatano, Tetsuo Furukawa

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    Event date: 2020.01.23 - 2020.01.25   Language:Japanese  

    The aim of this work is to visualize the relation of documents and words by embedding them to the product space of latent spaces. To achieve the task, the proposed method models the simultaneous probability of documents and words as the one on the product latent spaces. We applied the method to visualize the conference papers of NeurIPS and showed how it visualize the document set.

  • Visualization of children's interactions in the group discussion by Tensor SOM

    Keisuke Kusumoto, Keiichi Horio, Tetsuo Furukawa

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    Event date: 2020.01.23 - 2020.01.25   Language:Japanese  

    Our aim is to visualize the relationship between children and their social developmental states in a kindergarten. In this work, we focused on the imitation behaviors among the children during the group discussion sessions. We visualized the leading--following frequencies of imitation behaviors by using the tensor self-organizing map.

  • Optimal Transport based Autoencoder for class and style Disentanglement

    Florian Tambon, Tetsuo Furukawa

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    Event date: 2020.01.23 - 2020.01.25   Language:English  

  • Visualization tool for basketball team performance by multi-level SOM

    Kanta Senoura, Hideaki Ishibashi, Tetsuo Furukawa

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    Event date: 2020.01.23 - 2020.01.25   Language:Japanese  

    The purpose of this work is to develop a method to visualize the relation between the team performance and the member composition. The proposed method employs Multi-Level Self-Organizing Map (SOM) to analyze both at the member level and at the team level, and then their relation is modeled by regression. The proposed method was applied to the game data of National Basketball Association.

  • Visualization of Relational data by Embedding to Direct Product Space

    Kazuki Miyazaki, Ryuji Watanabe, Tetsuo Furukawa

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    Event date: 2020.01.23 - 2020.01.25   Language:Japanese  

    The aim of this work is to develop a modeling method of relational data. Relational data is a dataset observed obtained from object pairs belonging to several domains. The task of the proposed method is to embed the objects into the direct product latent spaces, each of which is corresponding to the domain. In this work, we employed the kernel soother to represent the product manifold, and it estimates the latent variables by a non-parametric unsupervised manner.

  • Visualization of KWM Data by Tensor SOM

    Tohru Iwatake, Tetsuo Furukawa

    Information Processing Society of Japan

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    Event date: 2018.02.17 - 2018.02.18   Language:Japanese  

  • A Multi-task Learning Algorithm using SOM

    Technical Committee on Neurocomputing 

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    Event date: 2018.01.26 - 2018.01.27   Language:Japanese  

  • Tensor SOMの階層化によるマルチグループ解析

    江良昌祥

    ニューロコンピューティング研究会(NC)  電子情報通信学会

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    Event date: 2018.01.26 - 2018.01.27   Language:Japanese  

    本研究の目的はTensor SOMをマルチグループ解析へ拡張することである.すなわち複数グループから得られたテンソルデータに対し,グループごとにテンソル解析するとともに,グループ間の解析も行う手法の開発である.本研究ではテンソルSOMと高階SOMを組み合わせることでマルチグループテンソル解析を実現した.さらに提案手法を実データに応用し,異なる属性を持つグループ間の類似関係を可視化するとともに,異なるグループ間で共通する因子を持つメンバーの発見が可能になることを示した.

  • Reward Design Method Adapting to Agents' Learning Ability based on Self-Organizing Map with Evaluation Value

    Proceedings of the Fuzzy System Symposium 

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    Event date: 2018.01   Language:Japanese  

    CiNii Article

  • Multi Layered Self-Organizing Map Propagating Semantic Information and its Application to Shape Clustering

    Proceedings of the Fuzzy System Symposium 

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    Event date: 2018.01   Language:Japanese  

    CiNii Article

  • 非負カーネル平滑化による連続潜在変数モデルの試み

    石橋英明

    ニューロコンピューティング研究会(NC)  電子情報通信学会

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    Event date: 2017.11.24 - 2017.11.25   Language:Japanese  

    連続潜在変数モデルは次元削減法の一種であり,高次元データから低次元の潜在変数を推定するとともに,データが分布する多様体を同時推定する.本研究の目的は (1) 連続潜在変数モデルをユークリッド空間から確率モデル空間に一般化することを通して,(2) 連続潜在線数モデルの理論を構築するとともに,(3) 理論に基づいた新たなアルゴリズムを開発することである.本研究では潜在変数の事後分布のガウス性を多様体の滑らかさの指標にすることで,確率モデルを扱ういくつかの困難を解決した.その結果,非負カーネルによる確率的カーネル平滑化の理論を導出できた.本稿ではそのアイデアと構築した理論を紹介するとともに,開発中のアルゴリズムについて報告する.

  • 事後分布推定されたガウス過程間のKLダイバージェンスは有限次元の正規分布間のKLダイバージェンスで評価できる

    石橋英明

    第20回情報論的学習理論ワークショップ  電子情報通信学会 情報論的学習理論と機械学習研究会

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    Event date: 2017.11.08 - 2017.11.11   Language:Japanese  

    ガウス過程を用いた回帰や次元削減のタスクはガウス過程の事後分布推定として解かれる.本研究ではそのように事後分布推定されたガウス過程間のKLダイバージェンスが有限次元のガウス分布間のKLダイバージェンスで評価できることを示す.この結果から回帰や次元削減をガウス過程を用いて推定したときの結果の類似性を評価できるようになるため,マルチタスク学習などへの利用が期待できる.本研究では一例として,実際にこの結果を用いてガウス過程集合を主成分分析するアルゴリズムを開発した.

  • Visualization of multi-relational data by combined Tensor SOM

    Japan Neural Network Society 

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    Event date: 2017.09.20 - 2017.09.22   Language:English  

  • Continuous latent variable model by non - negative kernel smoother

    Japan Neural Network Society 

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    Event date: 2017.09.20 - 2017.09.22   Language:English  

  • エージェントの学習過程に基づく学習パラメータの推定及び報酬付与方法に関する考察

    森逸平

    第33回ファジィシステムシンポジウム  日本知能情報ファジィ学会

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    Event date: 2017.09.13 - 2017.09.15   Language:Japanese  

  • 多層自己組織化マップによる状況分類と自動アノテーションの試み

    水谷龍希

    第33回ファジィシステムシンポジウム  日本知能情報ファジィ学会

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    Event date: 2017.09.13 - 2017.09.15   Language:Japanese  

  • Kansei analysis of landscape images by Tensor SOM

    Technical Committee on Neurocomputing 

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    Event date: 2017.06.23 - 2017.06.25   Language:Japanese  

  • Nonlinear Canonical Correlation Analysis of Multi-view Data by Metric Learning between SOMs

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    Event date: 2017.05.26   Language:Japanese  

  • Complex tensor data analysis by tensor SOM network and information propagation in the network

    Technical Committee on Neurocomputing (NC) 

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    Event date: 2017.01.26 - 2017.01.27   Language:Japanese  

  • intrinsic viewpoint estimation of multiple survey dataset

    Technical Committee on Neurocomputing (NC) 

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    Event date: 2017.01.26 - 2017.01.27   Language:Japanese  

  • Scene Classification and Automatic Annotation Based on Multi-layered Self-Organization Map

    MIZUTANI Ryuki, FURUKAWA Tetsuo, HORIO Keiichi

    Proceedings of the Fuzzy System Symposium 

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    Event date: 2017.01   Language:Japanese  

    CiNii Article

  • 嚥下機能解析に向けたTFSOM×SOMによる顎顔面骨格の形状分類

    古賀裕章

    バイオメディカル・ファジィ・システム学会大29回年次大会  バイオメディカル・ファジィ・システム学会

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    Event date: 2016.11.26 - 2016.11.27   Language:Japanese  

  • Wing 結合型SOMによるマルチモダリティ解析

    米田圭佑

    第15回情報科学フォーラム  電子情報通信学会, 情報処理学会

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    Event date: 2016.09.07 - 2016.09.09   Language:English  

  • Multi-task Manifold Learning Using Higher-Order Self-Organizing Map

    POSTECH-KYUTECH Joint Workshop 2016 

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    Event date: 2016.08.22 - 2016.08.24   Language:English  

  • Simultaneous visualization of topics and human relations from e-mail dataset by Tensor SOM.

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    Event date: 2016.01.28 - 2016.01.29   Language:Japanese  

  • Multilevel–multigroup analysis using a hierarchical tensor SOM network

    Ishibashi H., Shinriki R., Isogai H., Furukawa T.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 

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    Event date: 2016.01.01   Language:English  

    © Springer International Publishing AG 2016. This paper describes a method of multilevel–multigroup analysis based on a nonlinear multiway dimensionality reduction. To analyze a set of groups in terms of the probabilistic distribution of their constituent member data, the proposed method uses a hierarchical pair of tensor self-organizing maps (TSOMs), one for the member analysis and the other for the group analysis. This architecture enables more flexible analysis than ordinary parametric multilevel analysis, as it retains a high level of translatability supported by strong visualization. Furthermore, this architecture provides a consistent and seamless computation method for multilevel–multigroup analysis by integrating two different levels into a hierarchical tensor SOM network. The proposed method is applied to a dataset of football teams in a university league, and successfully visualizes the types of players that constitute each team as well as the differences or similarities between the teams.

  • Tensor SOMによるe-mailデータのトピック・ロールの同時可視化

    波田野創

    第18回情報論的学習理論ワークショップ  電子情報通信学会 情報論的学習理論と機械学習(IBISML)研究会 統計数理研究所

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    Event date: 2015.11.25 - 2015.11.28   Language:Japanese  

    Tensor SOMは自己組織化マップの拡張であり,テンソルデータからモードごとの潜在変数を推定する.本研究ではe-mailデータをメッセージ,単語,送信者,受信者の4モードテンソルデータとみなし,Tensor SOMでモデル化し可視化を行った.

  • テンソルSOMによる企業内チーム分析

    古川徹生

    第 25回 インテリジェント・システム・シンポジウム  計測自動制御学会 システム・情報部門

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    Event date: 2015.09.24 - 2015.09.25   Language:Japanese  

  • データに潜在する観測視点の推定法-観測依存・非依存成分への分解-

    石橋英朗

    第25回 日本神経回路学会 全国大会  日本神経回路学会

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    Event date: 2015.09.02 - 2015.09.04   Language:Japanese  

  • Impression analysis of instrument panels by Tensor SOM

    FSS2015 - Fuzzy System Symposium in Tokyo 

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    Event date: 2015.09.02 - 2015.09.04   Language:Japanese  

  • Relational data visualization by Tensor SOM

    FSS2015 - Fuzzy System Symposium in Tokyo 

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    Event date: 2015.09.02 - 2015.09.04   Language:Japanese  

  • Machine Learning Approach to Biodata Mining, and General

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    Event date: 2015.06.23 - 2015.06.25   Language:Japanese  

  • Robustness of Tensor SOM for Missing Data

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    Event date: 2015.01.29 - 2015.01.30   Language:Japanese  

  • Implementation of the higher-rank of SOM using formal neurons

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    Event date: 2015.01.29 - 2015.01.30   Language:Japanese  

  • Robustness of Tensor SOM for Missing Data

    WAKITA Yasuhiro, IWASAKI Tohru, FURUKAWA Tetsuo

    IEICE technical report. Neurocomputing 

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    Event date: 2015.01.29   Language:Japanese  

    CiNii Article

  • Implementation of the higher-rank of SOM using formal neurons

    SAHO Yuta, NATSUME Kiyohisa, FURUKAWA Tetsuo

    IEICE technical report. Neurocomputing 

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    Event date: 2015.01.29   Language:Japanese  

    CiNii Article

  • Impression analysis of instrument panels by Tensor SOM

    Date Yousuke, Iwasaki Tohru, Furukawa Tetsuo

    Proceedings of the Fuzzy System Symposium 

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    Event date: 2015.01   Language:Japanese  

    CiNii Article

  • Relational data visualization by Tensor SOM

    Iwasaki Tohru, Furukawa Tetsuo

    Proceedings of the Fuzzy System Symposium 

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    Event date: 2015.01   Language:Japanese  

    CiNii Article

  • Nonlinear Tensor Decomposition using Generative Topographic Mapping

    The 17th Information-Based Induction Sciences Workshop 

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    Event date: 2014.11.16 - 2014.11.19   Language:Japanese  

  • Analysis of the MovieLens dataset using Tensor SOM

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    Event date: 2014.03.17 - 2014.03.18   Language:Japanese  

  • Individual visualization of lifestyle pattern by SOM^2 with class estimation

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    Event date: 2013.07.19 - 2013.07.20   Language:Japanese  

  • The wing shape analysis of Mars aircraft by SOM-based shape space method

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    Event date: 2013.06.27 - 2013.06.28   Language:Japanese  

  • Research on Multi-System Learning Theory: A Case Study of Brain-Inspired System

    Tetsuo Furukawa

    SCIS-ISIS 2012 

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    Event date: 2012.11.20 - 2012.11.24   Language:English  

  • 解の多重度を考慮した混合分布モデルはより良い解をもたらす

    古川徹生

    第15回情報論的学習理論ワークショップ  電子情報通信学会 情報論的学習理論と機械学習 研究専門委員会

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    Event date: 2012.11.07 - 2012.11.09   Language:Japanese  

  • テンソル分解型自己組織化マップの応用 ~ 欠損データ補完方法の提案 ~

    岩崎亘

    ニューロコンピューティング研究会  電子情報通信学会

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    Event date: 2012.10.04 - 2012.10.05   Language:Japanese  

  • 非線形テンソル分解による隠れダイナミ カルシステム空間推定

    古川徹生

    Latent Dynamics 研究会 

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    Event date: 2012.09.24   Language:Japanese  

  • 潜在変数分布で評価する高階自己組織化マップ ~ ヘテロなデータ集合体の可視化ツール ~

    石橋英朗

    ニューロコンピューティング研究会  電子情報通信学会

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    Event date: 2012.03.14 - 2012.03.16   Language:Japanese  

  • 変分近似を見直すとSOMとGTMは一元的に理解できる

    松下聡史

    ニューロコンピューティング研究会  電子情報通信学会

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    Event date: 2012.03.14 - 2012.03.16   Language:Japanese  

  • 隠れマルチダイナミカルシステムの学習理論とアルゴリズム ~ 高階位相写像による実現 ~

    古川徹生

    ニューロコンピューティング研究会  電子情報通信学会

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    Event date: 2012.01.26 - 2012.01.27   Language:Japanese  

  • テンソル分解型自己組織化マップの開発 ~ 非線形テンソル分解の実現 ~

    岩崎亘

    ニューロコンピューティング研究会  電子情報通信学会

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    Event date: 2012.01.26 - 2012.01.27   Language:Japanese  

  • テンソル分解型自己組織化写像によるソーシャルネットワーク解析

    橋本晃二

    ニューロコンピューティング研究会  電子情報通信学会

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    Event date: 2012.01.24 - 2012.01.25   Language:Japanese  

  • Bayesian optimization makes GTM resemble to SOM

    The 21st Annual Conference of the Japanese Neural Network Society 

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    Event date: 2011.12.15 - 2011.12.17   Language:English  

  • Another-SOM2 for Metrics Map: A Self-Referable Neural Network

    The 21st Annual Conference of the Japanese Neural Network Society 

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    Event date: 2011.12.15 - 2011.12.17   Language:English  

  • Som Canonica: Establishing A Standard Algorithm of Self-Organizing Maps

    The 21st Annual Conference of the Japanese Neural Network Society 

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    Event date: 2011.12.15 - 2011.12.17   Language:English  

  • What is Required for a Multi-Dynamical System Learning Task?

    The 21st Annual Conference of the Japanese Neural Network Society 

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    Event date: 2011.12.15 - 2011.12.17   Language:English  

  • 確率的生成モデルによる位相保存写像のアルゴリズム導出

    松下 聡史, 中野 将秀

    第14回情報論的学習理論ワークショップ 

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    Event date: 2011.11.09 - 2011.11.11   Language:Japanese  

  • 位相保存写像を用いた関係データの非線形テンソル分解

    岩崎 亘, 和田 沙織

    第14回情報論的学習理論ワークショップ 

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    Event date: 2011.11.09 - 2011.11.11   Language:Japanese  

  • 高階SOMにおける観測変換不変な距離測度の導入

    薬師寺翔

    第26回ファジィシステムシンポジウム 

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    Event date: 2010.09   Language:Japanese  

  • SOM2と因子分解による普遍モデルと個性の分離

    荒川博史

    第26回ファジィシステムシンポジウム 

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    Event date: 2010.09   Language:Japanese  

  • NG+SOM と NGxSOM: 特徴ベクトル集合を扱うパターン分類法の比較

    大久保貴之

    第26回ファジィシステムシンポジウム 

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    Event date: 2010.09   Language:Japanese  

  • SOM Canonicaへの試み ~ 多様なモデル集合を扱う学習基盤を目指して ~

    大久保貴之

    ニューロコンピューティング研究会(NC) 

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    Event date: 2010.06   Language:Japanese  

  • 移動ロボットにおける自己進化型グラフネットワークを用いた環境モデルの構築

    徳永憲洋

    SCI'10 

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    Event date: 2010.05.19   Language:Japanese  

  • SIFT特徴量と高階自己組織化マップによる一般画像分類

    本人

    ニューロコンピューティング研究会(NC) 

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    Event date: 2010.03.09 - 2010.03.11   Language:Japanese  

  • ロボットの知能発達システムの基盤となる成長型アルゴリズムの検証~ 成長型アルゴリズムを用いた移動ロボットにおける環境モデル構築 ~

    本人

    ニューロコンピューティング研究会(NC) 

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    Event date: 2010.03.09 - 2010.03.11   Language:Japanese  

  • 形状トポロジーに依存しない線画の自己組織的分類

    本人

    ニューロコンピューティング研究会(NC) 

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    Event date: 2010.03.09 - 2010.03.11   Language:Japanese  

  • 高階SOMによる自然な形状群表現 ~ アフィン不変な距離測度の導入 ~

    本人

    ニューロコンピューティング研究会(NC) 

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    Event date: 2010.01.18 - 2010.01.19   Language:Japanese  

  • 進化型自己組織化マップによる視覚付き移動ロボットのトポロジカル地図構築

    本人

    第25回ファジィシステムシンポジウム 

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    Event date: 2009.07.14 - 2009.07.16   Language:Japanese  

  • 力学系群の自己組織化アルゴリズム:Parametric Bias 法 と mnSOM によるアプローチ

    本人

    ニューロコンピューティング研究会(NC) 

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    Event date: 2009.03.11 - 2009.03.13   Language:Japanese  

  • ESOMを用いた自律ロボットにおける実時間グラフベース地図の構築

    本人

    第10回自己組織化マップ研究会2009 

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    Event date: 2009.03.10   Language:Japanese  

  • 高階自己組織化マップを利用したロボットにおける知的情報処理システムの実現にむけて

    本人

    第10回自己組織化マップ研究会2009 

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    Event date: 2009.03.10   Language:Japanese  

  • 力学系群を連続表現する自己組織化アルゴリズム

    本人

    第10回自己組織化マップ研究会2009 

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    Event date: 2009.03.10   Language:Japanese  

  • NG×SOMによる手書き文字認識

    本人

    ニューロコンピューティング研究会(NC) 

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    Event date: 2009.01.19 - 2009.01.20   Language:Japanese  

  • 自己進化型モジュラーネットワークによる環境地図の自己組織的獲得

    本人

    日本神経回路学会第18回全国大会講演論文集 

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    Event date: 2008.09.25   Language:Japanese  

  • 自己組織化適応制御器(SOAC)の学習と制御性能に関する検討:多重順逆対モデル(MPFIM)との比較

    津山高専,湊原哲也

    日本神経回路学会第18回全国大会講演論文集 

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    Event date: 2008.09.25   Language:Japanese  

  • 高階自己組織化マップのハードウェア化:SOM2のFPGA化

    金子宗司

    電子情報通信学会総合大会 2008年総合大会講演論文集 

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    Event date: 2008.03.20   Language:Japanese  

  • SOM2:高階SOM による画像分類

    森雅則

    電子情報通信学会総合大会 2008年総合大会講演論文集 

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    Event date: 2008.03.20   Language:Japanese  

  • ロボットにおけるトポロジカル地図の自己組織的構築方法の提案

    徳永憲洋

    電子情報通信学会総合大会 2008年総合大会講演論文集 

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    Event date: 2008.03.20   Language:Japanese  

  • 自己進化型モジュラーネットワークの提案

    川畑宣之

    電子情報通信学会総合大会 2008年総合大会講演論文集 

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    Event date: 2008.03.20   Language:Japanese  

  • 自己進化する新しいモジュラーネットワークの提案

    川畑宣之

    ニューロコンピューティング研究会信学技報 

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    Event date: 2008.01.06   Language:Japanese  

  • SOM2による移動ロボットのための環境内部モデル獲得

    増岡孝紀

    ニューロコンピューティング研究会信学技報 

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    Event date: 2008.01.06   Language:Japanese  

  • SOM2のFPGA実装 ~ システムへの組込みを目指したアルゴリズム開発 ~

    小埜貴之

    ニューロコンピューティング研究会信学技報 

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    Event date: 2008.01.06   Language:Japanese  

  • SOM2によるトポロジカルな環境地図の獲得

    生命体工学研究科 脳情報専攻 増岡孝紀

    第23回 ファジィシステムシンポジウム論文集 

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    Event date: 2007.08.29 - 2007.08.31   Language:Japanese  

  • 隠れ変数を有するダイナミカルシステム集合の自己組織化マップ

    生命体工学研究科 脳情報専攻 辻純一

    第23回 ファジィシステムシンポジウム論文集 

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    Event date: 2007.08.29 - 2007.08.31   Language:Japanese  

  • 多様体集合をマップする自己組織化マップ:顔画像分類への応用

    生命体工学研究科 脳情報専攻 亀井祐太

    第23回 ファジィシステムシンポジウム論文集 

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    Event date: 2007.08.29 - 2007.08.31   Language:Japanese  

  • 自己組織化マップをもとにした新しい脳型ハードウェアの開発:SOM2のFPGA化

    生命体工学研究科 脳情報専攻 金子宗司

    第20回 回路とシステム軽井沢ワークショップ論文集 

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    Event date: 2007.04.22 - 2007.04.24   Language:Japanese  

  • 新しい脳型自己組織アーキテクチャの開発と応用

    生命体工学研究科 脳情報専攻 金子宗司,

    第三回人工頭脳工学シンポジウム講演論文集, 佐賀大学 

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    Event date: 2007.03   Language:Japanese  

  • SOM2のFPGA化:ハードウェア化に適したアルゴリズムの実装と検証

    生命体工学研究科 脳情報専攻 田中利康

    第8回自己組織化マップ研究会講演論文集 

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    Event date: 2007.03   Language:Japanese  

  • モジュラーネットワークSOM:教師あり学習と教師なし学習の融合

    生命体工学研究科 脳情報専攻 徳永憲洋

    第22回ファジィシステムシンポジウム講演論文集, 札幌, 2006 

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    Event date: 2006.09.06   Language:Japanese  

  • SOM集合をマップするSOM:自己組織化マップから自己組織化ホモトピーへ

    本人

    第22回ファジィシステムシンポジウム講演論文集, 札幌, 2006 

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    Event date: 2006.09.06   Language:Japanese  

  • 自己組織化ニューラルガスによる形状認識:手書き文字認識への応用

    生命体工学研究科 脳情報専攻 大谷誠

    日本神経回路学会第16回全国大会講演論文集, 名古屋大学, 2006 

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    Event date: 2006.04   Language:Japanese  

  • mnSOMを用いた適応制御システムの水中ロボットへの適用

    ロボティクスシンポジア講演論文集 

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    Event date: 2006.04   Language:Japanese  

  • モジュラーネットワーク型自己組織化マップを用いた水中ロボットのシステム同定

    ロボティクス・メカトロニクス講演会2006講演論文集 

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    Event date: 2006.04   Language:Japanese  

  • モジュラーネットワーク型自己組織化マップを用いた水中ロボットの運動制御システム

    第24回日本ロボット学会学術講演会講演論文集 

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    Event date: 2006.04   Language:Japanese  

  • モジュラーネットワークSOMの一般化:隠れ変数を考慮する事の必要性

    生命体工学研究科 脳情報専攻 大久保貴之

    日本神経回路学会第16回全国大会講演論文集, 名古屋大学, 2006 

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    Event date: 2006.04   Language:Japanese  

  • SOM2: SOM-module mnSOM

    5th Postech-Kyutech Joint Workshop 2005 

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    Event date: 2005.08   Language:English  

  • Modular network SOM (mnSOM): An overview as a generalization of SOM

    5th Postech-Kyutech Joint Workshop 

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    Event date: 2005.08   Language:English  

  • An adaptive controller based on modular network SOM

    5th Postech-Kyutech Joint Workshop 2005 

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    Event date: 2005.08   Language:English  

  • mnSOM: Extension of self-organizing map for mapping functions, systems and classes

    4th Postech-Kyutech Joint Workshop 2004 

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    Event date: 2005.04   Language:English  

  • Self-organizing map of a dynamical system with mnSOM

    4th Postech-Kyutech Joint Workshop 2004 

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    Event date: 2005.04   Language:English  

  • Self-organizing map in function space rather than vector space

    3rd Postec-Kyutech Joint Workshop 

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    Event date: 2005.04   Language:English  

  • モジュラーネットワーク型自己組織化マップ(mnSOM)によるテクスチャ分類

    田口真也, 脳情報専攻

    日本神経回路学会第15回全国大会 

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    Event date: 2005.04   Language:Japanese  

  • モジュラーネットワーク型自己組織化マップ(mnSOM)

    本人

    第1回人工頭脳工学シンポジウム 

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    Event date: 2005.03   Language:Japanese  

  • モジュラーネットワーク型SOM(mnSOM)による非線形適応部分空間マップ

    脳情報専攻

    第6回自己組織化マップ研究会2005 

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    Event date: 2005.03   Language:Japanese  

  • モジュラーネットワーク型自己組織化マップ(mnSOM)の理論と応用

    本人

    第6回自己組織化マップ研究会 

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    Event date: 2005.03   Language:Japanese  

  • 関数空間SOMによる動的システムの自己組織化マップ

    脳情報専攻

    日本神経回路学会第14回全国大会 

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    Event date: 2004.09   Language:Japanese  

  • SOM集合をマップ表現するSOM: 2次元投影像を元にした3次元物体の復元と分類

    本人

    日本神経回路学会第14回全国大会 

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    Event date: 2004.09   Language:Japanese  

  • 3層砂時計型ネットワークによる入力欠損の補完

    脳情報専攻

    日本神経回路学会第14回全国大会 

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    Event date: 2004.09   Language:Japanese  

  • ベクトル空間でなく関数空間における自己組織化マップ

    脳情報専攻

    日本神経回路学会第13回全国大会 

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    Event date: 2003.04   Language:Japanese  

  • 構造刈り込み付き恒等写像ネットを用いた独立信号分離抽出

    脳情報専攻

    日本神経回路学会第13回全国大会 

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    Event date: 2003.04   Language:Japanese  

  • 競合型モジュラーネットによる国土気象の分類とモデル推定

    脳情報専攻

    日本神経回路学会第13回全国大会 

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    Event date: 2003.04   Language:Japanese  

  • モジュラーネットワークによるモデル群の自己組織化マップ

    第4回自己組織化マップ研究会2003 

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    Event date: 2003.03.20   Language:Japanese  

  • ダウン症データライブラリの利用者別ニーズの分析

    第22回医療情報学連合大会 

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    Event date: 2002.11.14   Language:Japanese  

  • 障害者支援文書による仮想図書館管理インターフェース開発の試み

    第22回医療情報学連合大会 

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    Event date: 2002.11.14   Language:Japanese  

  • ダウン症告知の実態調査と受容支援ネットワーク作りに関する試み

    第9回遺伝性疾患に関する出生前診断研究会 

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    Event date: 2002.11.02   Language:Japanese  

  • 刈り込み付きオートエンコーダを用いた独立信号分離抽出の適応性とロバスト性

    日本神経回路学会第12回全国大会 

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    Event date: 2002.09.19   Language:Japanese  

  • モジュール競合学習による自己組織化マップ

    日本神経回路学会第12回全国大会 

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    Event date: 2002.09.19   Language:Japanese  

  • 構造刈り込み付ニューラル・オートエンコーダによる混合画像の分離

    日本神経回路学会第12回全国大会 

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    Event date: 2002.09.19   Language:Japanese  

  • データクラス分類とクラス別モデルの同時推定法

    日本神経回路学会第11回全国大会 

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    Event date: 2001.09.27 - 2001.09.29   Language:Japanese  

  • Transient型アマクリン細胞の時空間的光応答特性: 光応答の空間的伝播と伝播速度の異方性

    視覚科学フォーラム第5回研究会 

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    Event date: 2001.07.24 - 2001.07.25   Language:Japanese  

  • ダウン症データライブラリの利用実態から見た情報ニーズ

    第41回日本先天異常学会学術集会 

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    Event date: 2001.07.03 - 2001.07.05   Language:Japanese  

  • 日本ダウン症ネットワークによる先天障害者支援モデルの試み

    第41回日本先天異常学会学術集会 

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    Event date: 2001.07.03   Language:Japanese  

  • ボルツマンマシンによるモデル選択: 確率的動作と期待値動作

    電子情報通信学会技術研究報告, ニューロコンピューティング 

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    Event date: 2001.06.28 - 2001.06.29   Language:Japanese  

  • ボルツマンマシンによるモデル選択: 確率的動作と期待値動作

    電子情報通信学会ニューロコンピューティング研究会 

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    Event date: 2001.06.20   Language:Japanese  

  • インターネットにおけるダウン症データライブラリの運営と展開

    医療情報学シンポジウム2001 

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    Event date: 2001.06.01   Language:Japanese  

  • 網膜アマクリン細胞の光応答特性

    第23回北九州医工学術者会議 

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    Event date: 2001.05.25   Language:Japanese  

  • 一酸化窒素(NO): 網膜順応メッセンジャーとしての機能

    北九州医工学術者協会誌 Vol.11, No.1 

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    Event date: 2000.05.26   Language:Japanese  

  • Transient型アマクリン細胞の光応答特性と機能

    第77回日本生理学会全会 

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    Event date: 2000.03.27 - 2000.03.29   Language:Japanese  

  • 網膜Transient型アマクリン細胞の光応答特性とメカニズム

    電子情報通信学会技術研究報告MBE99-125~134 

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    Event date: 2000.01.28   Language:Japanese  

  • Transient型アマクリン細胞の非フラッシュ刺激に対する光応答特性

    視覚科学フォーラム 

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    Event date: 1999.08.04 - 1999.08.06   Language:Japanese  

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Press

  • 未来開拓力培う博士教育 九工大大学院注目集める「出稽古教育システム」

    古川徹生,夏目季代久

    西日本新聞  2008.03.30

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    魅力ある大学院教育イニシアティブ, 大学院GP, 出稽古, 道場, 教育制度

Honors and Awards

  • Student Presentation Award

    ニューロモルフィックAIハードウェア研究センター   Simultaneous Meta-modeling of Dynamics and Kinematics based on the Hierarchical Manifold Modeling   2022.03.19

    Daiki Tanka, Hideaki Ishibashi and Tetsuo Furukawa

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    Country:Japan

  • IEEE Computational Intelligence Society Japan Chapter Young Researcher Award (YRA)

    IEEE Computational Intelligence Society Japan Chapter (IEEE CISJ)   マルチタスク多様体モデリングの解くべき問題はなにか ~ 最尤推定と最適輸 送距離のアプローチ比較 ~   2022.03.03

    津野龍,石橋英朗,古川徹生

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    Country:Japan

  • Best Presentation Award

    ICICIC2021   Scalable Manifold Modeling by Nadaraya-Watson Kernel Regression   2021.09.16

    Kazuki Miyazaki, Shuhei Takano, Ryo Tsuno, Hideaki Ishibashi and Tetsuo Furukawa

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    Country:Japan

  • 2019年度日本知能情報ファジィ学会論文賞

    日本知能情報ファジィ学会   自己組織化マップによるマルチビュー関係データの包括的可視化   2019.12

    米田圭佑, 中野貴理博, 堀尾恵一, 古川徹生

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    Country:Japan

    本研究の目的は,マルチビュー関係データの全体像を包括的に可視化するSOMの開発である.これを実現するため,われわれはco-trainingによるメトリック推定法を導入することでSOMをマルチビューデータに拡張し,全ビューに共通する因子の推定を可能にした.これはSOMによる正準相関分析の非線形拡張になっている.さらに開発した学習アルゴリズムをテンソルSOMに組み込み,マルチビュー関係データの全体像を可視化するCCA型テンソルSOMを開発した.CCA型テンソルSOMをワインデータ解析に応用し,アロマデータと香気成分データを融合して可視化を行った.さらにワイン・アロマ・香気成分の三者の関係性を可視化することを通して,その有用性を示した.

  • SCIS&ISIS2018 with ISWS2018 Poster Session Award

    2018.12.12

    Kaido Iwamoto, Tohru Iwasaki, Tetsuo Furukawa

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    Country:Japan

  • IEEE Young Researcher Award

    IEEE Computational Intelligence Society   2016.09.01

    Tohru Iwasaki, Tetsuo Furukawa

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    Country:Japan

  • IEEE Computational Intelligence Society Japan Chapter Young Researcher Award

    Complex tensor data analysis by tensor SOM network and information propagation in the network   2015.03.16

    Yuki Toshima, Tetsuo Furukawa

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    Country:Japan

    Multimode data (relational data) is generally expressed as a tensor. In the analysis of tensor data, not only analysis of individual modes but also relations between modes need to be analyzed. In actual data analysis, it is often the case that multiple tensor datasets are combined by sharing some modes to form a larger data complexe. In this case, inter-mode analysis across multiple tensor datasets is also required, making analysis more difficult. The purpose of this research is to develop a visualization method to grasp the overall image of complex tensor data. In this research, we constructed a Tensor SOM Network that combines multiple Tensor SOMs, and further we developed a information propagation method for the inter-mode visualization belonging to different tensor data.

  • The 14th POSTECH-KYUTECH Joint Workshop on Neuroinformatics Best Poster Award

    Postech-Kyutech   2014.08.23

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    Country:Japan

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Grants-in-Aid for Scientific Research

  • 多様なダイナミクスを学び,理解し,生み出す学習理論の新展開

    Grant number:24120711  2012.04 - 2014.03   新学術領域研究

  • 経験から高次知識を自己組織化する学習理論

    Grant number:23500280  2011.04 - 2014.03   基盤研究(C)

  • 多様なダイナミクスを学び、理解し、生み出すための学習理論

    Grant number:22120510  2010.04 - 2012.03   新学術領域研究

  • マルチメディア教材を用いた英語リズム学習過程における脳内変化と学習ロボットの開発

    Grant number:17300270  2005.04 - 2008.03   基盤研究(B)

  • 自己組織化マップの一般化理論とその応用:理論の確立から実用化まで

    Grant number:17500193  2005.04 - 2008.03   基盤研究(C)

  • 高次ホメオスタシス機能の化学環境依存性の解析

    Grant number:16209006  2004.04 - 2007.03   基盤研究(A)

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Award for Educational Activities

  • 2019年度日本知能情報ファジィ学会論文賞

    日本知能情報ファジィ学会   2019.12

  • SCIS&ISIS2018 with ISWS2018 Poster Session Award

    SCIS&ISIS2018   2018.12.12

  • 日本神経回路学会論文賞

    日本神経回路学会   2017.09.22

  • 日本知能情報ファジィ学会・論文賞

    IEEE CISJ   2014.09.02

  • ISABEL2006-3 Best Poster Paper Award

    Rhee-Man Kil   2006.08.25

Social activity outside the university

  • 人工知能は「こころの目」を持てるか

    Role(s):Lecturer

    九州工業大学  熊本県立鹿本高等学校  2021.07.15

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    Audience: High school students

    Type:Visiting lecture