• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
1994 …2022

Research activity per year

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Search results

  • Conference contribution

    MDL criterion for NMF with application to botnet detection

    Tanaka, S., Kawamura, Y., Kawakita, M., Murata, N. & Takeuchi, JI., 2016, Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. Springer Verlag, Vol. 9947 LNCS. p. 570-578 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9947 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • Multiple kernel learning by conditional entropy minimization

    Hino, H., Reyhani, N. & Murata, N., 2010 Dec 1, Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010. p. 223-228 6 p. 5708837. (Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)
  • Nonnegative matrix factorization via generalized product rule and its application for classification

    Fujimoto, Y. & Murata, N., 2012 Feb 27, Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA 2012, Proceedings. p. 263-271 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7191 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Non-parametric e-mixture of density functions

    Hino, H., Takano, K., Akaho, S. & Murata, N., 2016, Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. Springer Verlag, Vol. 9948 LNCS. p. 3-10 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9948 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds

    Akaho, S., Hino, H. & Murata, N., 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Springer, p. 262-272 11 p. (Communications in Computer and Information Science; vol. 1143 CCIS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Pairwise similarity for line extraction from distorted images

    Hino, H., Fujiki, J., Akaho, S., Mochizuki, Y. & Murata, N., 2013, Computer Analysis of Images and Patterns - 15th International Conference, CAIP 2013, Proceedings. PART 2 ed. p. 250-257 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8048 LNCS, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Patchworking multiple pairwise distances for learning with distance matrices

    Takano, K., Hino, H., Yoshikawa, Y. & Murata, N., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9237. p. 287-294 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9237).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • Population decoding based on an unfaithful model

    Wu, S., Nakahara, H., Murata, N. & Amari, S., 2000 Jan 1, Advances in Neural Information Processing Systems 12 - Proceedings of the 1999 Conference, NIPS 1999. Neural information processing systems foundation, p. 192-198 7 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Citations (Scopus)
  • Real-time botnet detection using nonnegative tucker decomposition

    Kanehara, H., Takahashi, T., Murakami, Y., Inoue, D., Shimamura, J. & Murata, N., 2019, Proceedings of the ACM Symposium on Applied Computing. Association for Computing Machinery, p. 1337-1344 8 p. (Proceedings of the ACM Symposium on Applied Computing; vol. Part F147772).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)
  • Retrieved Image Refinement by Bootstrap Outlier Test

    Watanabe, H., Hino, H., Akaho, S. & Murata, N., 2019, Computer Analysis of Images and Patterns - 18th International Conference, CAIP 2019, Proceedings. Vento, M. & Percannella, G. (eds.). Springer Verlag, p. 505-517 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11678 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • Robust estimation for mixture of probability tables based on β-likelihood

    Fujimoto, Y. & Murata, N., 2006, Proceedings of the Sixth SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, p. 519-523 5 p. (Proceedings of the Sixth SIAM International Conference on Data Mining; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    2 Citations (Scopus)
  • Robust hyperplane fitting based on k-th power deviation and α-quantile

    Fujiki, J., Akaho, S., Hino, H. & Murata, N., 2011, Computer Analysis of Images and Patterns - 14th International Conference, CAIP 2011, Proceedings. PART 1 ed. p. 278-285 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6854 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • Robust hypersurface fitting based on random sampling approximations

    Fujiki, J., Akaho, S., Hino, H. & Murata, N., 2012, Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings. PART 3 ed. p. 520-527 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7665 LNCS, no. PART 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • Sampling hidden parameters from oracle distribution

    Sonoda, S. & Murata, N., 2014, Artificial Neural Networks and Machine Learning, ICANN 2014 - 24th International Conference on Artificial Neural Networks, Proceedings. Springer Verlag, p. 539-546 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8681 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)
  • Self-calibration of radially symmetric distortion by model selection

    Fujiki, J., Hino, H., Usami, Y., Akaho, S. & Murata, N., 2010, Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010. p. 1812-1815 4 p. 5597210. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)
  • Sensitivity analysis for controlling molten steel temperature in Tundish

    Murata, N., Sonoda, S., Hino, H., Kitada, H. & Kano, M., 2012, 2012 IFAC Workshop on Automation in the Mining, Mineral and Metal Industries, MMM 2012. 23 ed. IFAC Secretariat, p. 270-271 2 p. (IFAC Proceedings Volumes (IFAC-PapersOnline); vol. 45, no. 23).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)
  • Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization

    Nagayama, M., Aritake, T., Hino, H., Kanda, T., Miyazaki, T., Yanagisawa, M., Akaho, S. & Murata, N., 2019, Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (eds.). Springer Verlag, p. 102-113 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11727 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)
  • Sliced inverse regression with conditional entropy minimization

    Hino, H., Wakayama, K. & Murata, N., 2012 Dec 1, ICPR 2012 - 21st International Conference on Pattern Recognition. p. 1185-1188 4 p. 6460349. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • Spatio-temporal predictive network for videos with physical properties

    Aoyagi, Y., Murata, N. & Sakaino, H., 2021 Jun, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. IEEE Computer Society, p. 2268-2278 11 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Speaker recognition using multiple kernel learning based on conditional entropy minimization

    Ogawa, T., Hino, H., Reyhani, N., Murata, N. & Kobayashi, T., 2011, 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. p. 2204-2207 4 p. 5946918. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)
  • Statistical analysis of regularization constant from bayes, MDL and NIC Points of view

    Amari, S. I. & Murata, N., 1997 Jan 1, Biological and Artificial Computation: From Neuroscience to Technology - International Work-Conference on Artificial and Natural Neural Networks, IWANN 1997, Proceedings. Springer Verlag, p. 284-293 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1240 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)
  • Letter

    A conditional entropy minimization criterion for dimensionality reduction and multiple kernel learning

    Hino, H. & Murata, N., 2010 Nov 1, In: Neural Computation. 22, 11, p. 2887-2923 37 p.

    Research output: Contribution to journalLetterpeer-review

    19 Citations (Scopus)
  • A grouped ranking model for item preference parameter

    Hino, H., Fujimoto, Y. & Murata, N., 2010 Sep 1, In: Neural Computation. 22, 9, p. 2417-2451 35 p.

    Research output: Contribution to journalLetterpeer-review

    3 Citations (Scopus)
  • An estimation of generalized Bradley-Terry models based on the em algorithm

    Fujimoto, Y., Hino, H. & Murata, N., 2011 Jun 1, In: Neural Computation. 23, 6, p. 1623-1659 37 p.

    Research output: Contribution to journalLetterpeer-review

    3 Citations (Scopus)
  • A nonparametric clustering algorithm with a quantile-based likelihood estimator

    Hino, H. & Murata, N., 2014 Sep 13, In: Neural Computation. 26, 9, p. 2074-2101 28 p.

    Research output: Contribution to journalLetterpeer-review

    4 Citations (Scopus)
  • Intrinsic graph structure estimation using graph Laplacian

    Noda, A., Hino, H., Tatsuno, M., Akaho, S. & Murata, N., 2014, In: Neural Computation. 26, 7, p. 1455-1483 29 p.

    Research output: Contribution to journalLetterpeer-review

    4 Citations (Scopus)
  • Local intrinsic dimension estimation by generalized linear Modeling

    Hino, H., Fujiki, J., Akaho, S. & Murata, N., 2017 Jul 1, In: Neural Computation. 29, 7, p. 1838-1878 41 p.

    Research output: Contribution to journalLetterpeer-review

    2 Citations (Scopus)
  • Nonparametric e-mixture estimation

    Takano, K., Hino, H., Akaho, S. & Murata, N., 2016 Dec 1, In: Neural Computation. 28, 12, p. 2687-2725 39 p.

    Research output: Contribution to journalLetterpeer-review

    6 Citations (Scopus)
  • Paper

    Prediction error of stochastic learning machine

    Ikeda, K., Murata, N. & Amari, S. I., 1994 Dec 1, p. 1159-1162. 4 p.

    Research output: Contribution to conferencePaperpeer-review

  • Stable and robust ICA algorithm based on t-distribution and generalized Gaussian distribution models

    Cao, J. & Murata, N., 1999 Dec 1, p. 283-292. 10 p.

    Research output: Contribution to conferencePaperpeer-review

    14 Citations (Scopus)
  • Review article

    Statistical inference: Learning in artificial neural networks

    Yang, H. H., Murata, N. & Amari, S. I., 1998 Jan 1, In: Trends in Cognitive Sciences. 2, 1, p. 4-10 7 p.

    Research output: Contribution to journalReview articlepeer-review

    8 Citations (Scopus)