Published Papers:

  1. Yoshitatsu Matsuda, Takayuki Sekiya, and Kazunori Yamaguchi (2018) .
    Curriculum Analysis of Computer Science Departments by Simplified, Supervised LDA.
    Journal of Information Processing, 26, 497-508. Ref.

  2. Yoshitatsu Matsuda and Kazunori Yamaguchi (2018) .
    A Unifying Objective Function of Independent Component Analysis for Ordering Sources by Non-Gaussianity.
    IEEE Transactions on Neural Networks and Learning Systems, 29 (11), 5630-5642. Ref. Code

  3. Yoshitatsu Matsuda, Kazunori Yamaguchi, and Ken-ichiro Nishioka (2015) .
    Discovery of Regular and Irregular Spatio-Temporal Patterns from Location-Based SNS by Diffusion-Type Estimation.
    IEICE Transactions on Information and Systems, E98-D (9), 1675-1682.

  4. Yoshitatsu Matsuda and Kazunori Yamaguchi (2012) .
    Global Mapping Analysis: Stochastic Gradient Algorithm in Multidimensional Scaling.
    IEICE Transactions on Information and Systems, E95-D (2), 596-603.

  5. Yoshitatsu Matsuda and Kazunori Yamaguchi (2011) .
    An Adaptive Threshold in Joint Approximate Diagonalization by Assuming Exponentially Distributed Errors.
    Neurocomputing, 74, 1994-2001.

  6. Yoshitatsu Matsuda and Kazunori Yamaguchi (2009) .
    Linear Multilayer ICA Using Adaptive PCA.
    Neural Processing Letters, 30 (2), 133-144.

  7. Yoshitatsu Matsuda and Kazunori Yamaguchi (2007) .
    Linear Multilayer ICA Generating Hierarchical Edge Detectors.
    Neural Computation, 19 (1), 218-230.

  8. Yoshitatsu Matsuda and Kazunori Yamaguchi (2005) .
    An efficient MDS-based topographic mapping algorithm.
    Neurocomputing, 64, 285-299.

  9. Yoshitatsu Matsuda and Kazunori Yamaguchi (2001) .
    Global mapping analysis: Stochastic approximation for multidimensional scaling.
    International Journal of Neural Systems, 11 (5), 419-426.

Proceedings of International Conference:

  1. Yoshitatsu Matsuda, Takayuki Sekiya, and Kazunori Yamaguchi (2017) .
    Discovery of Interconnection among Knowledge Areas of Standard Computer Science Curricula by a Data Science Approach. ICONIP2017, Guangzhou, China, LNCS, Springer-Verlag, 186-195.

  2. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2017) .
    A Web-based Curriculum Engineering Tool for Investigating Syllabi in Topic Space of Standard Computer Science Curricula. FIE2017, Indianapolis, Indiana, USA, IEEE, 1-9.

  3. Yoshitatsu Matsuda and Kazunori Yamaguchi (2017) .
    Efficient Optimization of the Adaptive ICA Function with Estimating the Number of Non-Gaussian Sources. LVA/ICA2017, Grenoble, France, LNCS 10169, Springer-Verlag, 469-478.

  4. Ken-ichiro Nishioka, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2016) .
    User Location Prediction by Diffusion-type Estimation using Location-based SNS Check-in Data. Proceedings of iThings2016, Chengdu, China, IEEE, 14-19.

  5. Yoshitatsu Matsuda and Kazunori Yamaguchi (2016) .
    Gram-Schmidt Orthonormalization to the Adaptive ICA Function for Fixing the Permutation Ambiguity. ICONIP2016, Kyoto, Japan, LNCS 9948, Springer-Verlag, 152-159.

  6. Yoshitatsu Matsuda and Kazunori Yamaguchi (2016) .
    Adaptive Objective Function of ICA by Gaussian Approximation in Second-order Polynomial Feature Space. Proceedings of IJCNN2016, Vancouver, Canada, IEEE, 2382-2389.

  7. Yoshitatsu Matsuda and Kazunori Yamaguchi (2015) .
    Objective Function of ICA with Smooth Estimation of Kurtosis. ICONIP2015, Istanbul, Turkey, LNCS 9491, Springer-Verlag, 164-171.

  8. Ken-ichiro Nishioka, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2015) .
    Discovery of Localized Spatio-temporal Patterns from Location-based SNS by Clustering Users. Proceedings of IJCNN2015, Killarney, Ireland, IEEE, 1-8.

  9. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2015) .
    Curriculum Analysis of CS Departments Based on CS2013 by Simplified, Supervised LDA. Proceedings of LAK2015, New York, USA, ACM, 330-339.

  10. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2014) .
    Mapping Analysis of CS2013 by Supervised LDA and Isomap. Proceedings of TALE2014, Wellington, New Zealand, IEEE, 33-40.

  11. Yoshitatsu Matsuda, Kazunori Yamaguchi, and Ken-ichiro Nishioka (2014) .
    Discovery of Spatio-temporal Patterns from Foursquare by Diffusion-type Estimation and ICA. ICANN2014, Hamburg, Germany, LNCS 8681, Springer-Verlag, 765-772.

  12. Ikumi Horie, Kazunori Yamaguchi, Kenji Kashiwabara, and Yoshitatsu Matsuda (2014) .
    Improvement of Difficulty Estimation of Personalized Teaching Material Generator by JACET. ITHET2014, York, England, IEEE, 1-8.

  13. Yoshitatsu Matsuda and Kazunori Yamaguchi (2013) .
    Ensemble Joint Approximate Diagonalization by an Information Theoretic Approach. ICONIP2013, Daegu, Korea, LNCS 8228, Springer-Verlag, 309-316.

  14. Yoshitatsu Matsuda and Kazunori Yamaguchi (2012) .
    A Robust Objective Function of Joint Approximate Diagonalization. ICANN2012, Lausanne, Switzerland, LNCS 7553, Springer-Verlag, 205-212.

  15. Yoshitatsu Matsuda and Kazunori Yamaguchi (2011) .
    An Information Theoretic Approach to Joint Approximate Diagonalization. ICONIP2011, Shanghai, China, LNCS 7062, Springer-Verlag, 20-27.

  16. Yoshitatsu Matsuda and Kazunori Yamaguchi (2010) .
    Partial Extraction of Edge Filters by Cumulant-based ICA. ICONIP2010, Sydney, Australia, LNCS 6444, Springer-Verlag, 633-640.

  17. Yoshitatsu Matsuda and Kazunori Yamaguchi (2010) .
    A Probabilistic Framework for Joint Approximate Diagonalization. Proceedings of IJCNN2010, Barcelona, Spain, IEEE, 364-369.

  18. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2010) .
    Analysis of Computer Science Related Curriculum on LDA and Isomap. ITiCSE2010, Ankara, Turkey, ACM, 48-52.

  19. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2010) .
    Development of a Curriculum Analysis Tool. ITHET2010, Cappadocia, Turkey, IEEE, 413-418.

  20. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2009) .
    Analysis of Curriculum Structure Based on LDA. International Conference on Education and Information Technology, USA, 561-566.

  21. Yoshitatsu Matsuda and Kazunori Yamaguchi (2009) .
    An Adaptive Threshold in Joint Approximate Diagonalization by the Information Criterion. ICONIP2009, Bangkok, Thailand, LNCS 5863, Springer-Verlag, 204-211.

  22. Yoshitatsu Matsuda and Kazunori Yamaguchi (2009) .
    Joint Approximate Diagonalization Utilizing AIC-based Decision in the Jacobi Method. ICANN2009, Limassol, Cyprus, LNCS 5769, Springer-Verlag, 135-144.

  23. Yoshitatsu Matsuda and Kazunori Yamaguchi (2009) .
    A Simple Overcomplete ICA Algorithm by Non-Orthogonal Pair Optimizations. Proceedings of IJCNN2009, Atlanta, Georgia, USA, IEEE, 2027-2031.

  24. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2008) .
    Systematization of Course Syllabi Based on LDA. SCIS&ISIS2008, Nagoya, Japan, 166-171.

  25. Yoshitatsu Matsuda and Kazunori Yamaguchi (2008) .
    An Overcomplete ICA Algorithm by InfoMax and InfoMin. ICANN2008, Prague, Czech, LNCS 5163, Springer-Verlag, 136-144.

  26. Yoshitatsu Matsuda and Kazunori Yamaguchi (2008) .
    A Connection-limited Neural Network by Infomax and Infomin. Proceedings of IJCNN2008, Hong Kong, IEEE, 2531-2537.

  27. Yoshitatsu Matsuda and Kazunori Yamaguchi (2007) .
    Extraction of Approximate Independent Components from Large Natural Scenes. ICONIP2007, Kitakyushu, Japan, LNCS 4984, Springer-Verlag, 635-642.

  28. Yoshitatsu Matsuda and Kazunori Yamaguchi (2006) .
    A Fixed-Point Algorithm of Topographic ICA. ICANN2006, Athens, Greece, LNCS 4132, Springer-Verlag, 587-594.

  29. Yoshitatsu Matsuda and Kazunori Yamaguchi (2006) .
    The InfoMin Principle for ICA and Topographic Mappings. ICA2006, Charleston, SC, USA, LNCS 3889, Springer-Verlag, 958-965.

  30. Yoshitatsu Matsuda and Kazunori Yamaguchi (2005) .
    An efficient MDS algorithm for the analysis of massive document collections. KES2005, Melbourne, Australia, LNAI 3682, Springer-Verlag, 1015-1021.

  31. Yoshitatsu Matsuda and Kazunori Yamaguchi (2005) .
    Linear multilayer independent component analysis for large natural scenes. NIPS2004, Vancouver, Canada, Advances in Neural Information Processing Systems 17, MIT Press, 897-904.

  32. Yoshitatsu Matsuda and Kazunori Yamaguchi (2004) .
    Linear multilayer independent component analysis using stochastic gradient algorithm. ICA2004, Granada, Spain, LNCS 3195, Springer-Verlag, 303-310.

  33. Yoshitatsu Matsuda and Kazunori Yamaguchi (2004) .
    Semi-invariant function of Jacobi algorithm in independent component analysis. Proceedings of 2004 IEEE International Joint Conference on Neural Networks (IJCNN2004), Budapest, Hungary, IEEE, 2147-2151.

  34. Yoshitatsu Matsuda and Kazunori Yamaguchi (2003) .
    The InfoMin criterion: An information theoretic unifying objective function for topographic mappings.
    Artificial Neural Network and Neural Information Processing - ICANN/ICONIP 2003, Istanbul, Turkey, LNCS 2714, Springer-Verlag, 401-408.

  35. Yoshitatsu Matsuda and Kazunori Yamaguchi (2003) .
    Linear multilayer ICA algorithm integrating small local modules.
    Proceedings of ICA2003, Nara, Japan, 403-408.

  36. Yoshitatsu Matsuda and Kazunori Yamaguchi (2001) .
    The InfoMin principle: A unifying information-based criterion for forming topographic mappings.
    Proceedings of ICONIP2001, Shanghai, China, 14-19.

  37. Yoshitatsu Matsuda and Kazunori Yamaguchi (2001) .
    Global mapping analysis: Stochastic gradient algorithm in SSTRESS and classical MDS stress.
    Proceedings of ICONIP2001, Shanghai, China, 102-107.

Preprints:

  1. Yoshitatsu Matsuda, Tadanori Teruya, and Kenji Kasiwabara (2018) . Estimation of the success probability of random sampling by the Gram-Charlier approximation. Cryptology ePrint Archive, Report 2018/815, Ref.

Ph.D. Thesis:

  1. Yoshitatsu Matsuda (2002) .
    Model and applications of the global topographic mapping formation.

© Yoshitatsu Matsuda