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]
