Endo Yasunori

Researcher's full information

Articles
  • On Linguistic-based Clustering
    Akira Sugawara; Naohiko Kinoshita; Yasunori Endo
    Proc. of The 2014 IEEE International Conference on Granular Computing (GrC 2014)/G273/pp.265-270, 2014-10
  • Constrained Mountain c-Regression Models
    Yasunori Endo; Hengjin Tang; Sadaaki Miyamoto
    Doctoral Consortium Proc. of the 11th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2014)/pp.13-15, 2014-10
  • On Relation Between Kernelization and Quadratic-Regularization in Hard Non-Metric Model
    Yasunori Endo; Naohiko Kinoshita; Kuniaki Iwakura; Sadaaki M...
    Doctoral Consortium Proc. of the 11th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2014)/pp.22-24, 2014-10
  • Even-sized Clustering Algorithm Based on Optimization
    Yasunori Endo; Tsubasa Hirano; Naohiko Kinoshita; Yukihiro H...
    Doctoral Consortium Proc. of the 11th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2014)/pp.16-18, 2014-10
  • A Note on Estimating Tangential Force in Brake Systems for Railways
    Yasunori Endo; Toru Sano; Shin-ichi Nakazawa; Daisuke Hijikata
    The 11th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2014)/pp.108-119, 2014-10
  • Semi-supervised Hard and Fuzzy c-Means with Assignment Prototype Term
    Yasunori Endo; Yukihiro Hamasuna
    The 11th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2014), LNAI 8825/pp.135-144, 2014-10
  • Fuzzy c-Means with Quadratic Penalty-Vector Regularization Using Kullback-Leibler Information for Uncertain Data
    Endo Yasunori; Kinoshita Naohiko; Hamasuna Yukihiro
    The 11th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2014)/pp.1-13, 2014-10
  • On Even-sized Clustering Algorithm Based on Optimization
    Yasunori Endo; Yukihiro Hamasuna; Tsubasa Hirano; Naohiko Ki...
    Proc. of Joint 7rd International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2014)/TP4-3-5-(3)(#69), 2014-12
  • On New Sequential Hard c-Medoids
    Endo Yasunori; Hamasuna Yukihiro
    Proc. of Joint 7rd International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2014)/TP4-3-5-(2)(#81), 2014-12
  • EM-Based Clustering Algorithm for Uncertain Data
    Kinoshita Naohiko; Endo Yasunori
    Proc. of The Fifth International Conference on Knowledge and Systems Engineering (KSE 2013), Advances in Intelligent and Soft Computing 245/2/pp.69-81, 2013-10
  • A Note on Objective-Based Rough Clustering with Fuzzy-Set Representation
    Onishi Ken; Kinoshita Naohiko; Endo Yasunori
    The 11th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2014), LNAI 8825/pp.122-134, 2014-10
  • Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms
    Yasunori Endo; Naohiko Kinoshita; Kuniaki Iwakura; Yukihiro ...
    The 11th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2014), LNAI 8825/pp.145-157, 2014-10
  • On Objective-based Rough c-Regression
    Sugawara Akira; Endo Yasunori; Kinoshita Naohiko
    Journal of Advanced Computational Intelligence and Intelligent Informatics/19(1)/pp.36-42, 2015-01
  • On Objective-based Rough Hard and Fuzzy c-Means Clustering
    Endo Yasunori; Kinoshita Naohiko
    Journal of Advanced Computational Intelligence and Intelligent Informatics/19(1)/pp.29-35, 2015-01
  • On Cluster Extraction from Relational Data Using L1-Regularized Possibilistic Assignment Prototype Algorithm
    Yasunori Endo; Yukihiro Hamasuna
    Journal of Advanced Computational Intelligence and Intelligent Informatics/19(1)/pp.23-28, 2015-01
  • Efficient Depth Propagation for Constructing a Layered Depth Image from a Single Image
    Iizuka S.; Endo Y.; Kanamori Y.; Mitani J.; Fukui Y.
    COMPUTER GRAPHICS FORUM/33(7)/pp.279-288, 2014-10
  • A Note on Objective-based Rough Clustering with Fuzzy-Set Representation
    Ken Onishi; Naohiko Kinoshita; Endo Yasunori
    Lecture Notes in Artificial Intelligence (MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE, MDAI 2014)/8825/pp.122-134, 2014-11
  • Zero Risk Is Illusion : Recognizing the Possibility of Suffering(Risk Communication : Changes and Repercussions After 3.11)
    遠藤 靖典
    Journal of architecture and building science/128(1641)/pp.8-9, 2013-02
  • Regularized Rough c-Means and Applications to Risk Analysis
    Naohiko Kinoshita; Endo Yasunori
    The Fifth International Symposium on Computational Intelligence and Industrial Applications, 2012-08
  • On Sparse Possibilistic Clustering with Crispness -Classification Function and Sequential Extraction-
    Yukihiro Hamasuna; Endo Yasunori
    Joint 6rd International Conference on Soft Computing and Intelligent Systems and 13th International Symposium on advanced Intelligent Systems, 2012-11
  • Rough Set Based Non Metric Model
    Ayako Heki; Endo Yasunori; Sadaaki Miyamoto
    Joint 6rd International Conference on Soft Computing and Intelligent Systems and 13th International Symposium on advanced Intelligent Systems, 2012-11
  • On Rough Set Based Non Metric Model
    Endo Yasunori; Ayako Heki; Yukihiro Hamasuna
    The 9th International Conference on Modeling Decisions for Artificial Intelligence, 2012-11
  • KL-Divergence-Based and Manhattan Distance-Based semisupervised Entropy-Regularized Fuzzy c-Means
    Yuchi Kanzawa; Endo Yasunori; Sadaaki Miyamoto
    Journal of Advanced Computational Intelligence and Intelligent Informatics/15(8)/pp.1057-1064, 2011-10
  • Various Types of Objective Functions of Clustering for Uncertain Data
    Endo Yasunori; Sadaaki Miyamoto
    Lecture Notes in Economics and Mathematical Systems/658/pp.231-259, 2012-01
  • Comparison of Semi-supervised Hierarchical Clustering Using Clusterwise Tolerance
    Yukihiro Hamasuna; Endo Yasunori
    Journal of Advanced Computational Intelligence and Intelligent Informatics/16(7)/pp.819-824, 2012-11
  • more...