Kazunori Iwata

Associate Professor
Pattern Recognition Laboratory
Department of Intelligent Systems
Graduate School of Information Sciences
Hiroshima City University, Japan
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Education

2005 March, Doctor of Informatics from Kyoto University, Japan
Ph.D. Dissertation: An Information Theoretic Analysis of Reinforcement Learning
Supervisor: Prof. Hideaki Sakai
2002 March, Master of Engineering from Nagoya Institute of Technology, Japan
Thesis Title: Studies on Complexity in Learning
Supervisor: Prof. Naohiro Ishii
2000 March, Bachelor of Engineering from Nagoya Institute of Technology, Japan
Thesis Title: A Study on the Achievement of Optimal Policy in Reinforcement Learning
Supervisor: Prof. Naohiro Ishii

Research Interests

Machine Learning
Pattern Recognition
Applied Information Theory

Memberships

Institute of Electrical and Electronics Engineers (IEEE), 2004-
Institute of Electronics, Information, Communication, and Engineers (IEICE), 2001-

Publications (English writing papers only)

The list of Japanese writing papers is HERE.

Journal Papers

Kazuya Ose, Kazunori Iwata, and Nobuo Suematsu. Sampling Shape Contours Using Optimization over a Geometric Graph, IEICE Transactions on Information and Systems, Vol. E102-D, No. 12, Dec. 2019. [Abstract]

Kazunori Iwata. Extending the Peak Bandwidth of Parameters for Softmax Selection in Reinforcement Learning, IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 8, pp. 1865-1877, Aug. 2017. [Abstract] [Paper]

Kosei Kurisu, Nobuo Suematsu, Kazunori Iwata, and Akira Hayashi. A Spatially Correlated Mixture Model for Image Segmentation, IEICE Transactions on Information and Systems, Vol. E98-D, No. 4, pp. 930-937, Apr. 2015. [Abstract] [Paper]

Akira Hayashi, Kazunori Iwata, and Nobuo Suematsu. Marginalized Viterbi Algorithm for Hierarchical Hidden Markov Models, Pattern Recognition, Vol. 46, No. 12, pp. 3452-3459, Dec. 2013. [Abstract] [Paper]

Katsutoshi Ueaoki, Kazunori Iwata, Nobuo Suematsu, and Akira Hayashi. Matching Handwritten Line Drawings with Von Mises Distributions, IEICE Transactions on Information and Systems, Vol. E94-D, No. 12, pp. 2487-2494, Dec. 2011. [Abstract] [Paper] [Data Set]

Kazunori Iwata. An Information-Theoretic Analysis of Return Maximization in Reinforcement Learning, Neural Networks, Vol. 24, No. 10, pp. 1074-1081, Dec. 2011. [Abstract] [Paper] [Corrections for Typos] [Preprint]

Kazunori Iwata and Akira Hayashi. A Redundancy-Based Measure of Dissimilarity among Probability Distributions for Hierarchical Clustering Criteria, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, No. 1, pp. 76-88, Jan. 2008. [Abstract] [Paper]

Kazunori Iwata, Kazushi Ikeda and Hideaki Sakai. A Statistical Property of Multiagent Learning Based on Markov Decision Process, IEEE Transactions on Neural Networks, Vol. 17, No. 4, pp. 829-842, July 2006. [Abstract] [Paper]

Kazunori Iwata, Kazushi Ikeda and Hideaki Sakai. The Asymptotic Equipartition Property in Reinforcement Learning and its Relation to Return Maximization, Neural Networks, Vol. 19, No. 1, pp. 62-75, Jan. 2006. [Abstract] [Paper] [Corrections for Typos] [Preprint]

Kazunori Iwata, Kazushi Ikeda and Hideaki Sakai. On the Effects of Domain Size and Complexity in Empirical Distribution of Reinforcement Learning, IEICE Transactions on Information and Systems, Vol. E88-D, No. 1, pp. 135-142, Jan. 2005. [Abstract] [Paper]

Kazunori Iwata, Kazushi Ikeda and Hideaki Sakai. A New Criterion Using Information Gain for Action Selection Strategy in Reinforcement Learning, IEEE Transactions on Neural Networks, Vol. 15, No. 4, pp. 792-799, July 2004. [Abstract] [Paper] [Corrections for Typos]

Kazunori Iwata and Naohiro Ishii. A Generation Method of Initial Training Data on Active Learning of Multi-layer Perceptron, International Journal of Knowledge-based Intelligent Engineering Systems, Vol. 6, No. 2, pp. 112-119, University of Brighton, UK, Apr. 2002. [Abstract] [Paper]

and 1 paper(s) is (are) under review.

Refereed Conference Papers

Kazunori Iwata. Shape Clustering as a Type of Procrustes Analysis, Proceedings of the 25th International Conference on Neural Information Processing, (in Siem Reap, Cambodia), Part IV, Lecture Notes in Computer Science, vol. 11304, pp. 218-227, Dec. 2018. [Paper] [Corrections for Typos] [Data Set]

Hiroki Yamamoto, Kazunori Iwata, Nobuo Suematsu, and Kazushi Mimura. A Shape Matching Method Considering Computational Feasibility, Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, (in Shanghai, China), pp. 115-119, Nov. 2018. [Data Set]

Minori Ihara, Kazunori Iwata, Nobuo Suematsu, and Kazushi Mimura. Typical Performance of Sparse Signal Recovery from a Linear Measurement with Large Coherence, Proceedings of the 2018 International Symposium on Information Theory and Its Applications, (in Singapore), pp. 427-431, Oct. 2018.

Tsukasa Okamoto, Kazunori Iwata, and Nobuo Suematsu. Extending the Full Procrustes Distance to Anisotropic Scale in Shape Analysis, Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, (in Nanjing, China), pp. 634-639, Nov. 2017. [Data Set]

Kazuya Ose, Kazunori Iwata, and Nobuo Suematsu. A Sampling Method for Coping with Contours Drawn with an Uncertain Stroke Order and Number, Proceedings of the 15th IAPR Conference on Machine Vision Applications, (in Nagoya, Japan), pp. 438-441, May 2017. [Data Set]

MORE ... (Contd.)

Award

IEEE Kansai Section Student Paper Award, Feb. 2005. (This picture was provided by IEEE Kansai Section)



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[Pattern Recognition Lab.] - [Dept. of Intelligent Systems] - [Graduate School of Information Sciences] - [Hiroshima City University]


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