Seiichi Ozawa

Tomoyasu Takata, Daisuke Higuchi, Seiichi Ozawa: A sequential multitask learning algorithm for pattern recognition. ICDL-EPIROB 2012: 1-2

Simeng Yue, Seiichi Ozawa: A Sequential Multi-task Learning Neural Network with Metric-Based Knowledge Transfer. ICMLA (1) 2012: 671-674

Annie anak Joseph, Young-Min Jang, Seiichi Ozawa, Minho Lee: Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments. ICONIP (2) 2012: 640-647

Seiichi Ozawa, Hisashi Handa: Guest editorial: Evolving autonomous systems under realistic environments. Evolving Systems 2(4): 215-217 (2011)

Young-Min Jang, Minho Lee, Seiichi Ozawa: A real-time personal authentication system based on incremental feature extraction and classification of audiovisual information. Evolving Systems 2(4): 261-272 (2011)

Hitoshi Nishikawa, Seiichi Ozawa: Radial Basis Function Network for Multitask Pattern Recognition. Neural Processing Letters 33(3): 283-299 (2011)

Yonghwa Choi, Takaomi Tokumoto, Minho Lee, Seiichi Ozawa: Incremental two-dimensional two-directional principal component analysis (I(2D)²PCA) for face recognition. ICASSP 2011: 1493-1496

Tomoyasu Takata, Seiichi Ozawa: A Neural Network Model for Learning Data Stream with Multiple Class Labels. ICMLA (2) 2011: 35-40

Takaomi Tokumoto, Seiichi Ozawa: A fast incremental Kernel Principal Component Analysis for learning stream of data chunks. IJCNN 2011: 2881-2888

Chunyu Liu, Young-Min Jang, Seiichi Ozawa, Minho Lee: Incremental 2-directional 2-dimensional linear discriminant analysis for multitask pattern recognition. IJCNN 2011: 2911-2916

Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Nikola K. Kasabov: Incremental linear discriminant analysis for evolving feature spaces in multitask pattern recognition problems. Evolving Systems 1(1): 17-27 (2010)

Seiichi Ozawa, Toshihisa Tabuchi, Sho Nakasaka, Asim Roy: An Autonomous Incremental Learning Algorithm for Radial Basis Function Networks. JILSA 2(4): 179-189 (2010)

Takashi Nagatani, Seiichi Ozawa, Shigeo Abe: Fast Variable Selection by Block Addition and Block Deletion. JILSA 2(4): 200-211 (2010)

Seiichi Ozawa, Sho Nakasaka, Asim Roy: An autonomous incremental learning algorithm of Resource Allocating Network for online pattern recognition. IJCNN 2010: 1-8

Young-Min Jang, Seiichi Ozawa, Minho Lee: A Real-Time Personal Authentication System with Selective Attention and Incremental Learning Mechanism in Feature Extraction and Classifier. PRICAI 2010: 445-455

Seiichi Ozawa, Yohei Takeuchi, Shigeo Abe: A Fast Incremental Kernel Principal Component Analysis for Online Feature Extraction. PRICAI 2010: 487-497

Kazuya Morikawa, Seiichi Ozawa, Shigeo Abe: Tuning membership functions of kernel fuzzy classifiers by maximizing margins. Memetic Computing 1(3): 221-228 (2009)

Seiichi Ozawa, Asim Roy, Dmitri Roussinov: A Multitask Learning Model for Online Pattern Recognition. IEEE Transactions on Neural Networks 20(3): 430-445 (2009)

Seiichi Ozawa, Keisuke Okamoto: An Incremental Learning Algorithm for Resource Allocating Networks Based on Local Linear Regression. ICONIP (1) 2009: 562-569

Toshihisa Tabuchi, Seiichi Ozawa, Asim Roy: An Autonomous Learning Algorithm of Resource Allocating Network. IDEAL 2009: 134-141

Ryohei Ohta, Seiichi Ozawa: An incremental learning algorithm of Recursive Fisher Linear Discriminant. IJCNN 2009: 2310-2315

Seiichi Ozawa, Yuki Kawashima, Shaoning Pang, Nikola Kasabov: Adaptive incremental principal component analysis in nonstationary online learning environments. IJCNN 2009: 2394-2400

Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov: Curiosity driven incremental LDA agent active learning. IJCNN 2009: 2401-2408

Seiichi Ozawa, Hiroshi Onda: A Reinforcement Learning Model Using Macro-actions in Multi-task Grid-World Problems. SMC 2009: 3088-3093

Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov: Incremental Learning of Chunk Data for Online Pattern Classification Systems. IEEE Transactions on Neural Networks 19(6): 1061-1074 (2008)

Seiichi Ozawa, Asim Roy: Incremental Learning for Multitask Pattern Recognition Problems. ICMLA 2008: 747-751

Hitoshi Nishikawa, Seiichi Ozawa, Asim Roy: A Neural Network Model for Sequential Multitask Pattern Recognition Problems. ICONIP (1) 2008: 821-828

Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Shaoning Pang, Nikola Kasabov: A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems. ICONIP (1) 2008: 1163-1171

Seiichi Ozawa, Kazuya Matsumoto, Shaoning Pang, Nikola Kasabov: Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio. ICONIP (1) 2008: 1196-1203

Shinji Kita, Seiichi Ozawa, Satoshi Maekawa, Shigeo Abe: A Learning Algorithm of Boosting Kernel Discriminant Analysis for Pattern Recognition. IEICE Transactions 90-D(11): 1853-1863 (2007)

Seiichi Ozawa, Shaoning Pang, Nikola Kasabov: Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. ICONIP (2) 2007: 396-405

Yohei Takeuchi, Seiichi Ozawa, Shigeo Abe: An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection. IJCNN 2007: 2346-2351

Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov: Incremental learning of feature space and classifier for on-line pattern recognition. KES Journal 10(1): 57-65 (2006)

Takuya Kidera, Seiichi Ozawa, Shigeo Abe: An Incremental Learning Algorithm of Ensemble Classifier Systems. IJCNN 2006: 3421-3427

Seiichi Ozawa, Soon Lee Toh, Shigeo Abe, Shaoning Pang, Nikola Kasabov: Incremental learning of feature space and classifier for face recognition. Neural Networks 18(5-6): 575-584 (2005)

Manabu Kotani, Seiichi Ozawa: Feature Extraction Using Independent Components of Each Category. Neural Processing Letters 22(2): 113-124 (2005)

Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: Incremental linear discriminant analysis for classification of data streams. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(5): 905-914 (2005)

Shosuke Kimura, Seiichi Ozawa, Shigeo Abe: Incremental Kernel PCA for Online Learning of Feature Space. CIMCA/IAWTIC 2005: 595-600

Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: Chunk Incremental LDA Computing on Data Streams. ISNN (2) 2005: 51-56

Manabu Kotani, Masanori Katsura, Seiichi Ozawa: Detection of gas leakage sound using modular neural networks for unknown environments. Neurocomputing 62: 427-440 (2004)

Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: One-Pass Incremental Membership Authentication by Face Classification. ICBA 2004: 155-161

Manabu Kotani, Hiroki Takabatake, Seiichi Ozawa: Supervised Independent Component Analysis with Class Information. ICONIP 2004: 1052-1057

Seiichi Ozawa, Shaoning Pang, Nikola Kasabov: A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier. PRICAI 2004: 231-240

Seiichi Ozawa, Naoto Shiraga: Reinforcement Learning Using RBF Networks with Memory Mechanism. KES 2003: 1149-1156

Naoki Tsuchiya, Seiichi Ozawa, Shigeo Abe: Training Three-Layer Neural Network Classifiers by Solving Inequalities. IJCNN (3) 2000: 555-560

Seiichi Ozawa, Kazuyoshi Tsutsumi, Norio Baba: A Continuous-Time Model of Autoassociative Neural Memories Utilizing the Noise-Subspace Dynamics. Neural Processing Letters 10(2): 97-109 (1999)

Seiichi Ozawa, K. Tsutumi, Norio Baba: Evolution of a dynamical modular neural network and its application to associative memories. KES 1999: 145-148

Manabu Kotani, Seiichi Ozawa, M. Nakai, Kenzo Akazawa: Emergence of feature extraction function using genetic programming. KES 1999: 149-152

Seiichi Ozawa, Kazuyoshi Tsutsumi, Norio Baba: An artificial modular neural network and its basic dynamical characteristics. Biological Cybernetics 78(1): 19-36 (1998)

Seiichi Ozawa, Kazuyoshi Tsutsumi, Norio Baba: Design of Modular Neural Network Architectures Using Genetic Algorithms. ICONIP 1998: 1608-1611

Seiichi Ozawa, Kazuyoshi Tsutsumi: A multimodule neural network model and the estimate of its nature as associative memory. Systems and Computers in Japan 26(1): 99-110 (1995)