Faculty Information - Iwata Kazunori |

Iwata Kazunori

Department / Course Hiroshima City University Graduate School Graduate School of Information Sciences Major in Intelligent Systems

Hiroshima City University Faculty of Information Sciences Department of Intelligent Systems

Job Associate Professor

Academic conference presentation
2021/08/18	Mixture Modeling for Shape Clustering (The 4th International Conference on Signal Processing and Machine Learning)
2021/08/25	Typical Performance of Iterative Reweighted Lasso for Compressed Sensing (The 29th European Signal Processing Conference)
2020/10/24	Property of Quantum Decoding for Sourlas Codes of Which Tuples Are Randomly Decimated (The 2020 International Symposium on Information Theory and Its Applications)
2018/12/14	Shape Clustering as a Type of Procrustes Analysis (The 25th International Conference on Neural Information Processing)
2018/11/29	A Shape Matching Method Considering Computational Feasibility (The 2018 International Conference on Signal Processing and Machine Learning)
2018/10/30	Typical Performance of Sparse Signal Recovery from a Linear Measurement with Large Coherence (The 2018 International Symposium on Information Theory and Its Applications)
2017/11/29	Extending the Full Procrustes Distance to Anisotropic Scale in Shape Analysis (The 4th IAPR Asian Conference on Pattern Recognition)
2017/05/08	A Sampling Method for Coping with Contours Drawn with an Uncertain Stroke Order and Number (The 15th IAPR Conference on Machine Vision Applications)
2016/12/06	Reducing the Computational Cost of Shape Matching with the Distance Set (The 23rd International Conference on Pattern Recognition)
2015/11	A New Shape Descriptor Based on an Angular-Linear Probability Distribution (The 3rd IAPR Asian Conference on Pattern Recognition)
2013/11	Segmentation Using a Spatially Correlated Mixture Model with Gaussian Process Priors (The 2nd IAPR Asian Conference on Pattern Recognition)
2013/07	Finding the Most Likely Upper Level State Sequence for Hierarchical HMMs (The 1st International Conference on Statistical Language and Speech Processing)
2011/11/14	Placing Landmarks Suitably for Shape Analysis by Optimization (The 21st International Conference on Pattern Recognition)
2011/01	Hierarchical Hidden Conditional Random Fields for Information Extraction (The 5th International Conference on Learning and Intelligent Optimization)
2010/12	A Novel Shape Descriptor Based on Von Mises Distributions (The 2nd World Congress on Nature and Biologically Inspired Computing)
2010/11	An Information-Spectrum Approach to Analysis of Return Maximization in Reinforcement Learning (The 17th International Conference on Neural Information Processing)
2009/08	An Action-Selection Strategy Insensitive to Parameter-Settings in Reinforcement Learning (The ICROS-SICE International Joint Conference 2009)
2009/07	Sampling Curve Images to Find Similarities among Parts of Images (The 15th International Conference on Neural Information Processing)
2008/12	An Information-Theoretic Class of Stochastic Decision Processes (The 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology)
2008/06	Information Geometry and Information Theory in Machine Learning (The 14th International Conference on Neural Information Processing)
2007/09	Identifying the Underlying Hierarchical Structure of Clusters in Cluster Analysis (The 17th International Conference on Artificial Neural Networks)
2006/11	View Independent Gait Identification Using a Particle Filter (The 2006 IEEE International Conference on Video and Signal Based Surveillance)
2006/09	Human Gait Identification Using a Particle Filter (The Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems)
2006/09	Theory of a Probabilistic-Dependence Measure of Dissimilarity among Multiple Clusters (The 16th International Conference on Artificial Neural Networks)
2005/09	Stochastic Processes for Return Maximization in Reinforcement Learning (The 15th International Conference on Artificial Neural Networks)
2005/03	Asymptotic Properties of the New Support Vector Machines (The International Symposium on the Art of Statistical Metaware)
2005/03	Return Maximization in General Decision Processes of Reinforcement Learning (The International Symposium on the Art of Statistical Metaware)
2004/08	Stochastic Complexity of Reinforcement Learning (The Brain Inspired Cognitive Systems)
2004/02	Asymptotic Equipartition Property on Empirical Sequence in Reinforcement Learning (The 2nd IASTED International Conference on Neural Networks and Computational Intelligence)
2003/03	Temporal Difference Coding in Reinforcement Learning (The 4th International Conference on Intelligent Data Engineering and Automated Learning)
2002/10	Discrepancy as a Quality Measure for Avoiding Classification Bias (The 2002 IEEE International Symposium on Intelligent Control)
2002/08	Lempel-Ziv Coding in Reinforcement Learning (The 3rd International Conference on Intelligent Data Engineering and Automated Learning)
2001/10	A Strategy for Creating Initial Data on Active Learning of Multi-layer Perceptron (The 2nd Asia-Pacific Conference on Intelligent Agent Technology)
2001/08	Complexity-based Method for Exploration-Exploitation Dilemma in Reinforcement Learning (The 2nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing)
2000/12	Combining Exploitation-based and Exploration-based Approach in Reinforcement Learning (The 2nd International Conference on Intelligent Data Engineering and Automated Learning)
2000/10	Exploitation/Exploration Learning for MDP Environment (The 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation)