Kaito Kojima, Yuna Takamori, Wataru Sasaki, Aki Kimura, Kensuke Ueda, Kazunori Iwata, Kazushi Mimura, and Takeaki Shimokawa.
Heart Rate and Facial Expression Data Influence the Ease of Communication in a Remote Work Set-up,
IEEE Transactions on Affective Computing,
in press.
[Abstract]
[Paper]
Kazunori Iwata, Yuki Nontani, and Kazushi Mimura.
Making Clustering Methods Workable for Shapes Using the Ordinary Procrustes Sum of Squares,
Pattern Recognition,
Vol. 169,
111878,
Jan. 2026.
[Abstract]
[Paper]
Kazunori Iwata.
Mixture Density Function Estimation in Shape Clustering,
IEEE Transactions on Artificial Intelligence,
in press.
[Abstract]
[Paper]
Kazunori Iwata.
Use of Several Non-Euclidean Metrics to Compute Distances between Every Two Points in a Plane Bounded Convex Set,
Journal of Computational Science,
Vol. 85,
102494,
Feb. 2025.
[Abstract]
[Paper]
Kazunori Iwata, Hiroki Yamamoto, and Kazushi Mimura.
An Extended Scheme for Shape Matching with Local Descriptors,
IEICE Transactions on Information and Systems,
Vol. E104-D, No. 2,
pp. 285-293,
Feb. 2021.
[Abstract]
[Paper]
Kazunori Iwata.
Revisiting a Nearest Neighbor Method for Shape Classification,
IEICE Transactions on Information and Systems,
Vol. E103-D, No. 12,
pp. 2649-2658,
Dec. 2020.
[Abstract]
[Paper]
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,
pp. 2547-2556,
Dec. 2019.
[Abstract]
[Paper]
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]
Refereed Conference Papers
Chihiro Teramoto, Kazushi Mimura, Kazunori Iwata.
Typical Performance of Iterative Reweighted Lasso for Compressed Sensing,
Proceedings of the 29th European Signal Processing Conference,
(in Dublin, Ireland),
pp. 1940-1944,
Aug. 2021.
Sangook Lee, Kazunori Iwata, and Kazushi Mimura.
Property of Quantum Decoding for Sourlas Codes of Which Tuples Are Randomly Decimated,
Proceedings of the 2020 International Symposium on Information Theory and Its Applications,
(in Hawaii, USA),
pp. 156-159,
Oct. 2020.
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.
