Major publication of Shotaro Akaho

See also Google scholar and DBLP

EM algorithm and mixture models (see also: multimodal)

• K. Fukumizu, S. Akaho, S. Amari, "Critical lines of mixture models and its application to model splitting", Neural Information Processing Systems (NIPS2002) (2002)
• H.Asoh, K.Niki,K.Hashida,S.Akaho,Y.Motomura, T.Niwa, M.Tanaka, K.Fukumizu, An overview of theoretical foundation research in RWI research center, In Foundations of Real-World Intelligence, pp.21-28, CSLI Publications (2002)
• S. Akaho and H.J. Kappen: Nonmonotonic generalization bias of Gaussian mixture models, Neural Computation, Vol.12, No. 6, 1411-1428, 2000. Abstract
• S. Akaho and H.J. Kappen: Nonmonotonic generalization bias of Gaussian mixture models, ETL Technical Report TR-98-22, 1998 Abstract/ pdf
• S. Akaho: The EM Algorithm for multiple object recognition, Proc. of IEEE International Conference on Neural Networks'95, 1995. Abstract/ pdf
• S. Akaho: Mixture model for image understanding and the EM algorithm, ETL Technical Report, TR-95-13, 1995 Abstract/ pdf

ICA

• Y. Nishimori, S. Akaho: Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold. Neurocomputing, Vol.67
• J. Fujiki, S. Akaho, N. Murata: Nonlinear PCA/ICA fro the Structure from Motion Problem, Proc. of ICA2004, 750-757.
• S. Akaho, Conditionally independent component analysis for supervised feature extraction", Neurocomputing, Vol.49, No.1-4, pp.139-155 (2002)
• S. Akaho, Extended framework of ICA for regression and classification, International Meeting of the Psychometric Society (IMPS-2001) (2001)
• S. Akaho and S. Umeyama, Multimodal Independent Component Analysis --- A method of feature extraction from multiple information sources, Electronics and Communications in Japan, pp.21--28 (2001)
• S. Akaho: Conditionally Independent Component Extraction for Naive Bayes Inference, Proc. of ICANN (Lecture Notes in Computer Science LNCS 2130, Springer-Verlag), 2001 Abstract/ pdf
• S. Akaho, Y. Kiuchi, S. Umeyama: MICA: Multimodal Independent Component Analysis, Proc. of IJCNN, 1999 Abstract/ pdf
  (IJCNN Best presentation award)

Regularization and kernel methods

• K.Tsuda, S.Akaho, M.Kawanabe, K.R.Muller: Asymptotic Properties of the Fisher Kernel, Neural Computation, vol.16, no.1,115-137 (2003)
• K. Tsuda, S. Akaho, K. Asai, The em Algorithm for Kernel Matrix Completion with Auxiliary Data, J. of Machine Learning Research, vol.4 (2003)
• S. Akaho, Information geometry of learning kernels, Neural Information Processing Systems Learning Kernel Workshop (2002)
• S. Akaho, Maximizing the margin in the input space, Neural Information Processing Systems Learning Kernel Workshop (2002)
• S. Akaho, SVM that Maximizes the margin in the input space, International Conference on Neural Information Processing Systems (ICONIP2002) (2002)
• S. Akaho: A kernel method for canonical correlation analysis, International Meeting on Psychometric Society (IMPS2001), 2001 1 page abstract pdf/ full version pdf file
• S. Akaho: Regularization Learning of Neural Networks for Generalization, Algorithmic Learning Theory (ALT'92: Lecture Notes in Artificial Intelligence, Vol.743 Springer-Verlag), 1992 Abstract/ pdf

VC dimension, Network capacity

• S. Akaho: VC dimension theory for a learning system with forgetting, International Joint Conference on Neural Networks, 1993 Abstract/ pdf
• S. Akaho: Capacity and Error Correction Ability of Sparsely Encoded Associative Memory with Forgetting Process, International Conference on Artificial Neural Networks'93, 1993 Abstract/ pdf
• S. Akaho: Optimal Decay Rate of Connection Weights in Covariance Learning, ETL Technical Report ETL-TR-92-37, 1992 Abstract/ pdf
• S. Akaho and S. Amari: On the Capacity of three-layer networks, Proc. of International Joint Conference on Neural Networks, 1990

Pattern Recognition, Feature extraction

• S. Akaho: Curve fitting that minimizes the mean square of perpendicular distances from sample points, SPIE Vision Geometry II, 1993 Abstract/ pdf === Also in G.X.Ritter (ed.): Selected SPIE Papers on CD-ROM Vol.8. Mathematical Imaging and Vision
• S. Akaho: Translation, Scale and Rotation Invariant Features Based on High-Order Autocorrelations, Bull. of ETL, Oct. 1993 Abstract/ pdf

Biomimetic Vision

• S. Akaho, Y. Goto, H. Mizoguchi, T. Kurita: Pursuit movement of pan-tilt camera by feedback-error-learning, Proc of International Conference on Neural Information Processing, 1998 Abstract/ pdf
  

Multimodal

• S. Akaho, et al.: Multiple attribute learning with canonical correlation analysis and EM algorithm, ETL Technical Report TR-97-8, 1997 Abstract/ pdf
• H. Asoh, S. Akaho, O. Hasegawa, T. Yoshimura, S. Hayamizu: Intermodal Learning of Multimodal Interaction Systems, Proceedings of the International Workshop on Human Interface Technology, 1997
• S. Akaho, S. Hayamizu, O. Hasegawa, K. Itou, T. Akiba, H. Asoh, T. Kurita, K. Sakaue, K. Tanaka, N. Otsu: Recent Developments for Multimodal Interaction by Visual Agent with Spoken Language, Proc. on International Conference on Multimodal Interaction, 1996

Jijo2 Robot

• H. Asoh, Y. Motomura, I. Hara, S. Akaho, S. Hayamizu, T. Matsui: Combining Probabilistic Map and Dialogue for Robust Life-long Office Navigation, Proc. of the 1996 IEEE/RSJ International Conference on Intelligent Robots and Systems, 1996
• H.Asoh, S.Hayamizu, I.Hara, Y.Motomura, S.Akaho and T.Matsui: Socially Embedded Learning of the Office-Conversant Mobile Robot Jijo-2, Proc. of International Joint Conference on Artificial Intelligence, 1997

Misc

• S. Akaho and K.Takabatake: Active Update in Single Component MCMC for Discrete Variables, Proc. of NOLTA2004
• T.Kamishima, S.Akaho: Filling-in Missing Objects in Orders, IEEE International Conference on Data Mining (ICDM2004)
• T.Kamishima, H. Kazawa, S.Akaho: Estimating Attributed Central Orders --- An Empirical Comparison, 15th Europian Conference on Machine Learning (ECML2004)
• S. Akaho: Statistical learning in optimization: gaussian modeling for population search, Proc of International Conference on Neural Information Processing, 1998 Abstract/ pdf
  

Request of reprints, any questions and comments should be sent to
s . a k a h o @ a i s t . g o . j p