Shigeo Abe

2007
44	EE	Ryota Hosokawa, Shigeo Abe: Fuzzy Classifiers Based on Kernel Discriminant Analysis. ICANN (2) 2007: 180-189
43	EE	Shigeo Abe, Kenta Onishi: Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space. ICANN (2) 2007: 527-536
42	EE	Takashi Nagatani, Shigeo Abe: Backward Varilable Selection of Support Vector Regressors by Block Deletion. IJCNN 2007: 2117-2122
41	EE	Yohei Takeuchi, Seiichi Ozawa, Shigeo Abe: An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection. IJCNN 2007: 2346-2351
40	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)
39	EE	Shigeo Abe: Sparse least squares support vector training in the reduced empirical feature space. Pattern Anal. Appl. 10(3): 203-214 (2007)
2006
38	EE	Yuya Kamada, Shigeo Abe: Support Vector Regression Using Mahalanobis Kernels. ANNPR 2006: 144-152
37	EE	Shinya Katagiri, Shigeo Abe: Incremental Training of Support Vector Machines Using Truncated Hypercones. ANNPR 2006: 153-164
36	EE	Yusuke Torii, Shigeo Abe: Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques. ANNPR 2006: 165-176
35	EE	Masamichi Ashihara, Shigeo Abe: Feature Selection Based on Kernel Discriminant Analysis. ICANN (2) 2006: 282-291
34	EE	Shinya Katagiri, Shigeo Abe: Incremental training of support vector machines using hyperspheres. Pattern Recognition Letters 27(13): 1495-1507 (2006)
2005
33		Takashi Iwai, Motohide Yoshimura, Shigeo Abe: Detection of Protein Crystallizations under Dynamic Environment. CIMCA/IAWTIC 2005: 1121-1127
32		Shosuke Kimura, Seiichi Ozawa, Shigeo Abe: Incremental Kernel PCA for Online Learning of Feature Space. CIMCA/IAWTIC 2005: 595-600
31		Noriaki Kawamura, Motohide Yoshimura, Shigeo Abe: Image Query by Multiresolution Spectral Histograms. CIMCA/IAWTIC 2005: 660-665
30		Kohei Asano, Motohide Yoshimura, Shigeo Abe: Detection of Cell Forms in Multicellular Objects. CIMCA/IAWTIC 2005: 793-798
29	EE	Shigeo Abe: Modified backward feature selection by cross validation. ESANN 2005: 163-168
28	EE	Shigeo Abe: Training of Support Vector Machines with Mahalanobis Kernels. ICANN (2) 2005: 571-576
27	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)
26	EE	Tomonori Kikuchi, Shigeo Abe: Comparison between error correcting output codes and fuzzy support vector machines. Pattern Recognition Letters 26(12): 1937-1945 (2005)
2004
25	EE	Shigeo Abe: Fuzzy LP-SVMs for Multiclass Problems. ESANN 2004: 429-434
24	EE	Kenichi Kaieda, Shigeo Abe: KPCA-based training of a kernel fuzzy classifier with ellipsoidal regions. Int. J. Approx. Reasoning 37(3): 189-217 (2004)
2003
23	EE	Daisuke Tsujinishi, Shigeo Abe: Fuzzy least squares support vector machines for multiclass problems. Neural Networks 16(5-6): 785-792 (2003)
2002
22		Shigeo Abe, Takuya Inoue: Fuzzy support vector machines for multiclass problems. ESANN 2002: 113-118
21	EE	Motohide Yoshimura, Hajime Kiyose, Shigeo Abe: Advanced Image Retrieval Using Multi-resolution Image Content. MVA 2002: 330-333
2001
20		Shigeo Abe, Keita Sakaguchi: Generalization Improvement of a Fuzzy Classifier With Ellipsodial Regions. FUZZ-IEEE 2001: 207-210
19	EE	Shigeo Abe, Takuya Inoue: Fast Training of Support Vector Machines by Extracting Boundary Data. ICANN 2001: 308-313
2000
18	EE	Shigeo Abe: Generalization Improvement of a Fuzzy Classifier with Pyramidal Membership Functions. ICPR 2000: 2211-2214
17	EE	Kota Kawaratani, Shigeo Abe: Fast Feature Selection by Analyzing Class Regions Approximated by Ellipsoids. IJCNN (3) 2000: 549-554
16	EE	Naoki Tsuchiya, Seiichi Ozawa, Shigeo Abe: Training Three-Layer Neural Network Classifiers by Solving Inequalities. IJCNN (3) 2000: 555-560
15	EE	Hiroyasu Kubota, Hisashi Tamaki, Shigeo Abe: Robust Function Approximation Using Fuzzy Rules with Ellipsoidal Regions. IJCNN (6) 2000: 529-534
1999
14		Ruck Thawonmas, Shigeo Abe: Function approximation based on fuzzy rules extracted from partitioned numerical data. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(4): 525-534 (1999)
13		Shigeo Abe, Ruck Thawonmas, Masahiro Kayama: A fuzzy classifier with ellipsoidal regions for diagnosis problems. IEEE Transactions on Systems, Man, and Cybernetics, Part C 29(1): 140-148 (1999)
1998
12	EE	Ruck Thawonmas, Shigeo Abe: Rule acquisition based on hyperbox representation and its applications. KES (1) 1998: 120-125
11	EE	Shigeo Abe: Training of a fuzzy classifier with ellipsoidal regions by dynamic cluster generation. KES (1) 1998: 126-131
1997
10		Ruck Thawonmas, Shigeo Abe: A novel approach to feature selection based on analysis of class regions. IEEE Transactions on Systems, Man, and Cybernetics, Part B 27(2): 196-207 (1997)
1996
9	EE	Shigeo Abe, Ming-Shong Lan, Ruck Thawonmas: Tuning of a fuzzy classifier derived from data. Int. J. Approx. Reasoning 14(1): 1-24 (1996)
1995
8		Shigeo Abe: Fuzzy Systems with Learning Capability. Fuzzy Logic in Artificial Intelligence 1995: 101-115
1993
7	EE	Shigeo Abe, Masahiro Kayama, Hiroshi Takenaga, Tadaaki Kitamura: Extracting algorithms from pattern classification neural networks. Neural Networks 6(5): 729-735 (1993)
1992
6	EE	Shigeo Abe, Junzo Kawakami, Kotaro Hirasawa: Solving inequality constrained combinatorial optimization problems by the hopfield neural networks. Neural Networks 5(4): 663-670 (1992)
1990
5	EE	Hiroshi Takenaga, Shigeo Abe, Masao Takatoo, Masahiro Kayama, Tadaaki Kitamura, Yosiyuki Okuyama: Optimal Input Selection of Neural Networks by Sensitivity Analysis and Its Application to Image Recognition. MVA 1990: 117-120
1988
4		Ken-ichi Kurosawa, S. Yamaguchi, Shigeo Abe, Tadaaki Bandoh: Instruction Architecture for a High Performance Integrated Prolog Processor IPP. ICLP/SLP 1988: 1506-1530
1987
3		Shigeo Abe, Tadaaki Bandoh, S. Yamaguchi, Ken-ichi Kurosawa, Kaori Kiriyama: High Performance Integrated Prolog Processor IPP. ISCA 1987: 100-107
1986
2		Shigeo Abe, Ken-ichi Kurosawa, Kaori Kiriyama: A New Optimization Technique for a Prolog Computer. COMPCON 1986: 241-245
1982
1		Shigeo Abe, R. Hiraoka, Y. Fukunaga, Tadaaki Bandoh, Kotaro Hirasawa, Yukio Kawamoto: Preliminary Performance Evaluation of Data Flow Computers. COMPCON 1982: 224-227

Coauthor Index

1	Kohei Asano	[30]
2	Masamichi Ashihara	[35]
3	Tadaaki Bandoh	[1] [3] [4]
4	Y. Fukunaga	[1]
5	R. Hiraoka	[1]
6	Kotaro Hirasawa	[1] [6]
7	Ryota Hosokawa	[44]
8	Takuya Inoue	[19] [22]
9	Takashi Iwai	[33]
10	Kenichi Kaieda	[24]
11	Yuya Kamada	[38]
12	Nikola K. Kasabov (Nikola Kasabov)	[27]
13	Shinya Katagiri	[34] [37]
14	Junzo Kawakami	[6]
15	Yukio Kawamoto	[1]
16	Noriaki Kawamura	[31]
17	Kota Kawaratani	[17]
18	Masahiro Kayama	[5] [7] [13]
19	Tomonori Kikuchi	[26]
20	Shosuke Kimura	[32]
21	Kaori Kiriyama	[2] [3]
22	Shinji Kita	[40]
23	Tadaaki Kitamura	[5] [7]
24	Hajime Kiyose	[21]
25	Hiroyasu Kubota	[15]
26	Ken-ichi Kurosawa	[2] [3] [4]
27	Ming-Shong Lan	[9]
28	Satoshi Maekawa	[40]
29	Takashi Nagatani	[42]
30	Yosiyuki Okuyama	[5]
31	Kenta Onishi	[43]
32	Seiichi Ozawa	[16] [27] [32] [40] [41]
33	Shaoning Pang	[27]
34	Keita Sakaguchi	[20]
35	Masao Takatoo	[5]
36	Hiroshi Takenaga	[5] [7]
37	Yohei Takeuchi	[41]
38	Hisashi Tamaki	[15]
39	Ruck Thawonmas	[9] [10] [12] [13] [14]
40	Soon Lee Toh	[27]
41	Yusuke Torii	[36]
42	Naoki Tsuchiya	[16]
43	Daisuke Tsujinishi	[23]
44	S. Yamaguchi	[3] [4]
45	Motohide Yoshimura	[21] [30] [31] [33]

Colors in the list of coauthors