Kazunori Iwata

Publication Activity (10 Years)

Years Active: 2003-2020
Publications (10 Years): 5

Top Topics

Nearest Neighbor

Spatially Correlated

Shape Classification

Model For Image Segmentation

Top Venues

IEICE Trans. Inf. Syst.

Pattern Recognit.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Kazunori Iwata
Revisiting a Nearest Neighbor Method for Shape Classification. IEICE Trans. Inf. Syst. (12) (2020)
Kazuya Ose, Kazunori Iwata, Nobuo Suematsu
Sampling Shape Contours Using Optimization over a Geometric Graph. IEICE Trans. Inf. Syst. (12) (2019)
Kazunori Iwata
Shape Clustering as a Type of Procrustes Analysis. ICONIP (4) (2018)
Kazunori Iwata
Extending the Peak Bandwidth of Parameters for Softmax Selection in Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 28 (8) (2017)
Kosei Kurisu, Nobuo Suematsu, Kazunori Iwata, Akira Hayashi
A Spatially Correlated Mixture Model for Image Segmentation. IEICE Trans. Inf. Syst. (4) (2015)
Akira Hayashi, Kazunori Iwata, Nobuo Suematsu
Marginalized Viterbi algorithm for hierarchical hidden Markov models. Pattern Recognit. 46 (12) (2013)
Katsutoshi Ueaoki, Kazunori Iwata, Nobuo Suematsu, Akira Hayashi
Matching Handwritten Line Drawings with Von Mises Distributions. IEICE Trans. Inf. Syst. (12) (2011)
Kazunori Iwata
An information-theoretic analysis of return maximization in reinforcement learning. Neural Networks 24 (10) (2011)
Kazunori Iwata, Akira Hayashi
A Redundancy-Based Measure of Dissimilarity among Probability Distributions for Hierarchical Clustering Criteria. IEEE Trans. Pattern Anal. Mach. Intell. 30 (1) (2008)
Kazushi Ikeda, Kazunori Iwata
Information Geometry and Information Theory in Machine Learning. ICONIP (2) (2007)
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
The asymptotic equipartition property in reinforcement learning and its relation to return maximization. Neural Networks 19 (1) (2006)
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
A statistical property of multiagent learning based on Markov decision process. IEEE Trans. Neural Networks 17 (4) (2006)
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
On the Effects of Domain Size and Complexity in Empirical Distribution of Reinforcement Learning. IEICE Trans. Inf. Syst. (1) (2005)
Kazunori Iwata, Hideaki Sakai, Kazushi Ikeda
Stochastic Processes for Return Maximization in Reinforcement Learning. ICANN (2) (2005)
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
Asymptotic equipartition property on empirical sequence in reinforcement learning. Neural Networks and Computational Intelligence (2004)
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
A new criterion using information gain for action selection strategy in reinforcement learning. IEEE Trans. Neural Networks 15 (4) (2004)
Kazunori Iwata, Kazushi Ikeda
Temporal Difference Coding in Reinforcement Learning. IDEAL (2003)