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早稲田大学理工学術院教授 松山泰男

松山泰男  Yasuo Matsuyama


研究室総勢 約30名

計算知能(computational intelligence)に基づいて、高度なhuman-aware ICTを実現するための研究を行っている。松山教授は、α-EMアルゴリズムの創始者として知られている。

  • 計算知能とICT
  • Webメディア情報処理
  • ブレインマシンインターフェース
  • ヒューマンコンピュータインタラクション
  • バイオインフォマティクス
  • BANなどの人体通信を用いたICT

経 歴




人事院試験専門委員(併任:国家 I 種総合試験)




スタンフォード大学大学院工学研究科 博士課程修了(Ph.D.)













電子情報通信学会,情報処理学会,人工知能学会, 日本バイオインフォマティクス学会,日本神経回路学会

受 賞


大隈記念学術褒賞記念賞 (2016)


WASEDA e-Teaching Award (2016)




情報処理学会フェロー (2014)


IEEE Life Fellow (2013)


CSTST (International Conference on Soft Compating as Transdisciplinary Science and Technology) Best Paper Award, ACM & IEEE (2008)


LSI IPデザイン・アワード 知的財産賞 (2006)


APNNA Best Paper Award for Application Oriented Research (2004)


電子情報通信学会フェロー (2002)


IEEE Transactions on Neural Networks, Outstanding Paper Award (2001)


電気通信普及財団賞テレコムシステム技術賞本賞 (2001)


IEEE Fellow Award (1998)




電気通信普及財団賞テレコムシステム技術賞奨励賞 (1989)


* H. Iwase, T. Horie, and Y. Matsuyama, (corresponding author), Verification of fraudulent PIN holders by brain waves, Proc. Int. Joint Conf. Neural Networks, pp. 2068-2075, Vancouver, 2016.
* T. Horie, M. Moriwaki, R. Yokote, S. Ninomiya, A. Shikano, Y. Matsuyama, Similar-video retrieval via learned exemplars and time-warped alignment, Lecture Notes in Computer Science, No. 8836, pp. 85-94. DOI: 10.1007/978-3-319-12643-2_11. http://link.springer.com/chapter/10.1007%2F978-3-319-12643-2_11
* Y. Matsuyama, Machine Learning Strategies for Big Data Utilization: Assembling via Statistical Soft Label, Plenary/Keynote Speak, Int. Conf. Audio, Language and Image Processing, Shanghai, July, (2014) http://www.icalip2014.org/KeynoteSpeakerMatsuyama.aspx   presentation
* H. Kamiya, R. Yokote and Y. Matsuyama, Icon Placement Regularization for Jammed Profiles: Applications to Web-Registered Personnel Mining, Communications in Computer and Information Science, Vol. 409, pp. 70-79, 2013. http://link.springer.com/book/10.1007%2F978-3-319-03783-7
* M. Shozawa, R. Yokote, S. Hidano, Chi-Hua Wu and Y. Matsuyama, Brain Signal Based Continuous Authentication: Functional NIRS Approach, Lecture Notes in Computer Science, Vol. 7903, pp. 171-180, 2013. http://link.springer.com/book/10.1007%2F978-3-642-38679-4
* M. Maejima, R. Yokote, Y. Matsuyama, Composite data mapping by multi-dimensional scaling: GUI design for clustering must-watch and no-need programs, Lecture Notes in Computer Science, No. 7667, pp. 267-274, 2012.
* R. Yokote and Y. Matsuyama, Rapid algorithm for independent component analysis, J. Signal and Information Processing, Vol. 3, pp. 275-285, 2012.
* Y. Matsuyama, R. Yokote, Y. Yokosawa, Conversion of sensitivity-based tasks from brain signals and motions: Applications to humanoid operation, Proc. IASTED Int. Conf. on Artificial Intelligence, pp. 271-277, 2012.
* Y. Matsuyama and R. Yokote, From convex divergence to human-aware information processing: Good models mismatch well, therefore serviceable, International Workshop on Anomalous Statistics, Generalized Entropies, and Information Geometry, invited presentation, Abstract p. 20, Nara, Japan, March 2012.
* Y. Matsuyama, Hidden Markov model estimation based on the alpha-EM algorithm: Discrete and continuous alpha-HMMs, Proc. of International Joint Conference on Neural Networks, pp. 809-816, San Jose, CA, 2011.
* R. Yokote, T. Nakamura and Y. Matsuyama, Independent component analysis with graphical correlation: Applications to multi-vision coding, Proceedings of International Joint Conference on Neural Networks, San Jose, CA, pp. 701-708, 2011.
* Y. Matsuyama, R. Hayashi and R. Yokote, Fast estimation of hidden Markov models via alpha-EM algorithm, Proc. of 2011 IEEE Statistical Signal Processing Workshop, Nice, France, pp. 89-92, 2011.
* 松山泰男、 バイオインフォマティクス in silico, 培風館, 2011.
* Y. Matsuyama, K. Noguchi, T. Hatakeyama, N. Ochiai and T. Hori, Signal recognition and conversion towards symbiosis with ambulatory humanoids, Lecture Notes in Artificial Intelligence, Springer, No.6334, pp. 101-111, 2010.
* Y. Matsuyama and R. Hayashi, Alpha-EM gives fast hidden Markov model estimation: Derivation and evaluation of alpha-HMM, Proc. Int. Joint Conf. on Neural Networks, pp. 663-670, 2010.
* R. Yokote and Y. Matsuyama, Yet rapid ICA: Applications to un-indexed image-to-image retrieval, Proc. Int. Joint Conf. on Neural Networks, pp. 4255-4262, 2010.
Bio-signal integration for humanoid operation: Gesture and brain signal recognition by HMM/SVM-embedded BN, Lecture Notes in Computer Science, No. 5506, pp. 351-359, 2009.
* T. Kato, S. Honma, Y. Matsuyama, T. Yoshino and Y. Hoshino, Sensibility-aware image retrieval using computationally learned bases: RIM, JPG, J2K and their mixtures, Lecture Notes in Computer Science, No. 5506, pp. 620-627, 2009.
* M. Takata and Y. Matsuyama, Protein folding classification by committee SVM array, Lecture Notes in Computer Science, No. 5507, pp. 369-377, 2009.
* Y. Matsuyama, F. Matsushima, Y. Nishida, T. Hatakeyama, N. Ochiai and S. Aida, Multimodal belief integration by HMM/SVM-embedded Bayesian network: Applications to ambulating PC operation by body motions and brain signals, Lecture Notes in Computer Science, No. 5768, pp. 767-778, 2009.
* Y. Matsuyama and Y. Nishida, HMM-embedded Bayesian network for heterogeneous command integration: Applications to biped humanoid operation over the network, Proc. CSTST 2008, pp.138-145, 2008.
* Y. Matsuyama, F. Ohashi, F. Horiike, T. Nakamura, S. Honma, N. Katsumata, and Y. Hoshino, Image-to-image retrieval using computationally learned bases and color information, Proc. IJCNN, 1158, 2007.
* Y. Matsuyama, Y. Ishihara, Y. Ito, T. Hotta, K. Kawasaki, T. Hasegawa and M. Takata, Promoter recognition involving motif detection : Studies on E. coli and human genes, ISMB/ECCB, H06, 2007.
* J. Kato, N. Takahashi, Y. Ueda, Y. Sugihara and Y. Matsuyama, Networked remote operation of humanoid via motion interpretation and image recognition, Proceedings of Int. Conf. on Autonomous Robots and Agents, Vol. 1, pp. 51-56, 2006.
* N. Katsumata, Y. Matsuyama, T. Chikagawa, F. Ohashi, F. Horiike, S. Honma and T. Nakamura, Retrieval-aware image compression, its format and viewer based upon learned bases, Lecture Notes in Computer Science, No. 4233, pp. 420-429, 2006.
* Y. Matsuyama, K. Onuki, Y. Ito, Y. Ishihara, k. Kawasaki and T. Hasegawa, Decomposition of DNA sequences into hidden components; Applications to human genome's promoter recognition, Intelligent Systems for Molecular Biology, H67, 2006.
* 河北、寶崎、松山、 Fake Processインターリーバを用いたターボ符号器とその復号器, 第8回LSI IPデザイン・アワード論文,2006.
* Y. Matsuyama, T. Shiga, T. Chikagawa, N. Takahashi and Y. Ueda, Network communication strategies for cooperative physical agents, Proceedings of Asia-Pacific Symposium on Information and Telecommunication Technologies, Vol. 1, pp. 148-153, 2005.
* Y. Matsuyama, Y. Ito, K. Onuki and Y. Ishihara, Decomposition of Discrete-symbol biosequences to hidden components: Independent component analysis for DNA promoter recognition, Proceedings of International Conference on Neural Information Processing, Vol. 1, pp. 538-543, 2005.
* N. Katsumata and Y. Matsuyama, Database retrieval for similar images using ICA and PCA bases, Engineering Applications of Artificial Intelligence, Vol. 18, pp. 705-717, 2005.
* Y. Matsuyama, S. Yoshinaga, H. Okuda, K. Fukumoto, S. Nagatsuma, K. Tanikawa, H. Hakui, R. Okuhara and N. Katsumata, Towards the unification of human movement, animation and humanoid in the network, Lecture Notes in Computer Science, Springer Verlag, No. 3316, pp. 1135-1141, 2004.(APPNA Best Paper Award for Application Oriented Research)
* Y. Matsuyama and R. Kawamura, Promoter recognition for E. coli DNA segments by independent component analysis, Proc. Computational Systems Bioinformatics, Vol. 1, pp. 686-691, 2004.
* Y. Matsuyama, H. Kataoka, N. Katsumata and K. Shimoda, ICA photographic encoding gear: Image bases towards IPEG, Proc. IJCNN, vol. 3, pp. 2129-2134, 2004.
* N. Nishioka, Y. Matsuyama, A. Saitoh, Y. Morita, N. Katsumata, H. Kataoka, R. Mizuta and S. Yoshika, Agent generation and resource allocation in a network computing environment, Proc. Asia-Pacific Symposium on Information and Telecommunication Technologies, Proc. Asia-Paific Symposium on Information and Telecommunication Technologies, Vol. 1, pp. 63-68, 2003.
* Y. Matsuyama, N. Katsumata and R. Kawamura, Independent component analysis minimizing convex divergence, Lecture Notes in Computer Science, Springer Verlag, No. 2714, pp. 27-34, 2003.
* Y. Matsuyama, The alpha-EM algorithm: Surrogate likelihood maximization using alpha-logarithmic information measures, IEEE Trans. on Information Theory, Vol. 49, pp. 692-706, 2003.
* Y. Matsuyama, S. Imahara and N. Katsumata, Optimization transfer for computational learning: A hierarchy from f-ICA and alpha-EM to their offsprings, Proceedings of International Joint Conference on Neural Networks, Vol. 3, pp. 1883-1888, 2002.
* Y. Matsuyama, N. Katsumata, Y. Suzuki and S. Imahara, The alpha-ICA algorithm, Proceedings of Independent Component Analysis and Blind Signal Separation, pp. 297-302, 2000.
* 松山泰男、 α-EMアルゴリズムとその基本的性質, 電子情報通信学会論文誌D-I, Vol. J82-D-I,pp. 1347-1358, 1999. (電気通信普及財団賞テレコムシステム技術賞本賞,2001; 電子情報通信学会フェロー対象論文,2002)
* Y. Matsuyama, Multiple descent cost competition: Restorable self-organization and multimedia information processing, IEEE Trans. on Neural Networks,Vol. 7,pp. 652-668, 1998. (Outstanding Paper Award of IEEE Trans. NN, 2001; 電子情報通信学会フェロー対象論文, 2002)
* 松山泰男、 自己組織化と外部知性との結合 架空のコンピュータHALの生誕年によせて, 情報処理,Vol. 39,pp. 37-42, 1998.
* 岡本、松山、大島、 コンピュータ理工学辞典,共立出版社,1997.
* Y. Matsuyama, The alpha-EM Algorithm: A block connectable generalized learning tool for neural networks, Lecture Notes in Computer Science, Springer Verlag, No. 1240, pp. 1240,483-492, 1997. (IEEE Fellow Award対象論文,1998)
* Y. Matsuyama, Harmonic competition: A self-organizing multiple criteria optimization, IEEE Trans. on Neural Networks,Vol. 7,pp. 652-668, 1996. (IEEE Fellow Award対象論文,1998)
* 藤井、松山、 動的計画法を用いたステレオマッチングにおける順序逆転問題の 一解法, 電子情報通信学会論文誌,Vol. J79-D-II, pp. 775-784, 1996.
* Y. Matsuyama, Competitive learning among massively parallel agents: Applications to traveling salesperson problems, Neural, Parallel & Scientific Computations, Vol. 1, pp. 181-197, 1993.
* 松山泰男、 自己組織化できるニューラルネットワークと ユークリッド空間におけるいろいろな巡回セールスマン問題, 電子情報通信学会論文誌,Vol. J74-D-II, pp. 416-425, 1991. (電子情報通信学会論文賞,1992; International Abstracts of Operations Research誌推薦採録, 1992; 電子情報通信学会フェロー対象論文,2002)
* 松山泰男、 多重降下競合アルゴリズムと並列部分最適化,情報処理学会論文誌,Vol. 32, pp. 333-344, 1991.
* Y. Matsuyama, Vector quantization of optimally grouped sets and image/speech compression, Proceedings of IEEE International Conference on Global Communications (GLOBECOM), Vol. 3, pp. 957-961, 1987. (電気通信普及財団賞テレコムシステム技術賞奨励賞, 1989)
* 松山、富沢、 VLSI設計入門,共立出版社,1983.
* Y. Matsuyama and R. M. Gray, Voice coding and tree encoding speech compression systems based upon inverse filter matching, IEEE Trans. on Communications, Vol. COM-30, pp. 711-720, 1982. (IEEE Fellow Award対象論文,1998)
* 松山泰男、 逆フィルタ符号帳を用いた2種類の音声圧縮システム, 電子通信学会論文誌,Vol. J64-A, pp. 659-666, 1981. (電子情報通信学会フェロー対象論文,2002)
* Y. Matsuyama and R. M. Gray, Universal tree encoding for speech, IEEE Trans. Information Theory, Vol. IT-27, pp. 31-40, 1981. (IEEE Fellow Award対象論文,1998)
* R. M. Gray, A. Buzo, A. H. Gray, Jr. and Y. Matsuyama, Distortion measures for speech processing, IEEE Trans. on Acoustics, Speech and Signal Processing, Vol. ASSP-24, pp. 367-376, 1980 (IEEE Fellow Award対象論文,1998).
* Y. Matsuyama, Mismatch robustness of linear prediction and its relationship to coding, Information and Control (Information and Computation), Vol. 47. pp. 237-262, 1980. (IEEE Fellow Award対象論文,1998)
* 松山泰男、 ユニバーサルな情報源符号化と音声圧縮, 電子通信学会論文誌,Vol. 62-A, pp. 887-894, 1979. (電子情報通信学会フェロー対象論文,2002)
* Y. Matsuyama, Process distortion measures and signal processing, Ph.D. Dissertation, Stanford University, Aug., 1978.
* Y. Matsuyama, A note on stochastic modeling of shunting inhibition, Biological Cybernetics, Vol. 24, pp. 139-145, 1976.
* Y. Matsuyama, K. Shirai and K. Akizuki, On some properties of stochastic information processes in neurons and neuron populations, Kybernetik (Biological Cybernetics), Vol. 15, pp. 127-145, 1974.
* Y. Matsuyama, Studies on stochastic modeling of neurons, Dr. Engineering Dissertation, Waseda University, Mar., 1974.