教員総覧 - 岩田　一貴 | 広島市立大学

イワタ　カズノリ Iwata Kazunori
岩田　一貴

所属広島市立大学大学院情報科学研究科知能工学専攻

広島市立大学情報科学部知能工学科

職種准教授

学会発表
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)