Kazunori Iwata

21 papers C 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Making clustering methods workable for shapes using the ordinary Procrustes sum of squares.
Pattern Recognit.
Kazunori Iwata, Yuki Nontani, Kazushi Mimura
2025 J jnl
Heart Rate and Facial Expression Data Influence the Ease of Communication in a Remote Work Set-Up.
IEEE Trans. Affect. Comput.
Kaito Kojima, Yuna Takamori, Wataru Sasaki, Aki Kimura, Kensuke Ueda, Kazunori Iwata, Kazushi Mimura, Takeaki Shimokawa
2025 J jnl
Mixture Density Function Estimation in Shape Clustering.
IEEE Trans. Artif. Intell.
Kazunori Iwata
2025 J jnl
Use of several non-Euclidean metrics to compute distances between every two points in a plane bounded convex set.
J. Comput. Sci.
Kazunori Iwata
2020 J jnl
Revisiting a Nearest Neighbor Method for Shape Classification.
IEICE Trans. Inf. Syst.
Kazunori Iwata
2019 J jnl
Sampling Shape Contours Using Optimization over a Geometric Graph.
IEICE Trans. Inf. Syst.
Kazuya Ose, Kazunori Iwata, Nobuo Suematsu
2018 — conf
Shape Clustering as a Type of Procrustes Analysis.
ICONIP (4)
Kazunori Iwata
2017 J jnl
Extending the Peak Bandwidth of Parameters for Softmax Selection in Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Kazunori Iwata
2015 J jnl
A Spatially Correlated Mixture Model for Image Segmentation.
IEICE Trans. Inf. Syst.
Kosei Kurisu, Nobuo Suematsu, Kazunori Iwata, Akira Hayashi
2013 J jnl
Marginalized Viterbi algorithm for hierarchical hidden Markov models.
Pattern Recognit.
Akira Hayashi, Kazunori Iwata, Nobuo Suematsu
2011 J jnl
An information-theoretic analysis of return maximization in reinforcement learning.
Neural Networks
Kazunori Iwata
2011 J jnl
Matching Handwritten Line Drawings with Von Mises Distributions.
IEICE Trans. Inf. Syst.
Katsutoshi Ueaoki, Kazunori Iwata, Nobuo Suematsu, Akira Hayashi
2008 J jnl
A Redundancy-Based Measure of Dissimilarity among Probability Distributions for Hierarchical Clustering Criteria.
IEEE Trans. Pattern Anal. Mach. Intell.
Kazunori Iwata, Akira Hayashi
2007 — conf
Information Geometry and Information Theory in Machine Learning.
ICONIP (2)
Kazushi Ikeda, Kazunori Iwata
2006 J jnl
A statistical property of multiagent learning based on Markov decision process.
IEEE Trans. Neural Networks
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
2006 J jnl
The asymptotic equipartition property in reinforcement learning and its relation to return maximization.
Neural Networks
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
2005 J jnl
On the Effects of Domain Size and Complexity in Empirical Distribution of Reinforcement Learning.
IEICE Trans. Inf. Syst.
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
2005 — conf
Stochastic Processes for Return Maximization in Reinforcement Learning.
ICANN (2)
Kazunori Iwata, Hideaki Sakai, Kazushi Ikeda
2004 J jnl
A new criterion using information gain for action selection strategy in reinforcement learning.
IEEE Trans. Neural Networks
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
2004 — conf
Asymptotic equipartition property on empirical sequence in reinforcement learning.
Neural Networks and Computational Intelligence
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
2003 C conf
Temporal Difference Coding in Reinforcement Learning.
IDEAL
Kazunori Iwata, Kazushi Ikeda