Seiichi Ozawa

2007
20	EE	Seiichi Ozawa, Shaoning Pang, Nikola Kasabov: Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. ICONIP (2) 2007: 396-405
19	EE	Yohei Takeuchi, Seiichi Ozawa, Shigeo Abe: An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection. IJCNN 2007: 2346-2351
18	EE	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)
2006
17	EE	Takuya Kidera, Seiichi Ozawa, Shigeo Abe: An Incremental Learning Algorithm of Ensemble Classifier Systems. IJCNN 2006: 3421-3427
16	EE	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)
2005
15		Shosuke Kimura, Seiichi Ozawa, Shigeo Abe: Incremental Kernel PCA for Online Learning of Feature Space. CIMCA/IAWTIC 2005: 595-600
14	EE	Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: Chunk Incremental LDA Computing on Data Streams. ISNN (2) 2005: 51-56
13	EE	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)
12	EE	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)
11	EE	Manabu Kotani, Seiichi Ozawa: Feature Extraction Using Independent Components of Each Category. Neural Processing Letters 22(2): 113-124 (2005)
2004
10	EE	Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: One-Pass Incremental Membership Authentication by Face Classification. ICBA 2004: 155-161
9	EE	Manabu Kotani, Hiroki Takabatake, Seiichi Ozawa: Supervised Independent Component Analysis with Class Information. ICONIP 2004: 1052-1057
8	EE	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
7	EE	Manabu Kotani, Masanori Katsura, Seiichi Ozawa: Detection of gas leakage sound using modular neural networks for unknown environments. Neurocomputing 62: 427-440 (2004)
2003
6	EE	Seiichi Ozawa, Naoto Shiraga: Reinforcement Learning Using RBF Networks with Memory Mechanism. KES 2003: 1149-1156
2000
5	EE	Naoki Tsuchiya, Seiichi Ozawa, Shigeo Abe: Training Three-Layer Neural Network Classifiers by Solving Inequalities. IJCNN (3) 2000: 555-560
1999
4	EE	Seiichi Ozawa, K. Tsutumi, Norio Baba: Evolution of a dynamical modular neural network and its application to associative memories. KES 1999: 145-148
3	EE	Manabu Kotani, Seiichi Ozawa, M. Nakai, Kenzo Akazawa: Emergence of feature extraction function using genetic programming. KES 1999: 149-152
2		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)
1998
1		Seiichi Ozawa, Kazuyoshi Tsutsumi, Norio Baba: Design of Modular Neural Network Architectures Using Genetic Algorithms. ICONIP 1998: 1608-1611

Coauthor Index

1	Shigeo Abe	[5] [12] [15] [17] [18] [19]
2	Kenzo Akazawa	[3]
3	Norio Baba	[1] [2] [4]
4	Nikola K. Kasabov (Nikola Kasabov)	[8] [10] [12] [13] [14] [16] [20]
5	Masanori Katsura	[7]
6	Takuya Kidera	[17]
7	Shosuke Kimura	[15]
8	Shinji Kita	[18]
9	Manabu Kotani	[3] [7] [9] [11]
10	Satoshi Maekawa	[18]
11	M. Nakai	[3]
12	Shaoning Pang	[8] [10] [12] [13] [14] [16] [20]
13	Naoto Shiraga	[6]
14	Hiroki Takabatake	[9]
15	Yohei Takeuchi	[19]
16	Soon Lee Toh	[12]
17	Naoki Tsuchiya	[5]
18	Kazuyoshi Tsutsumi	[1] [2]
19	K. Tsutumi	[4]

Colors in the list of coauthors