2009 | ||
---|---|---|
53 | EE | Yusuke Torii, Shigeo Abe: Decomposition techniques for training linear programming support vector machines. Neurocomputing 72(4-6): 973-984 (2009) |
2008 | ||
52 | EE | Shigeo Abe: Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis. ANNPR 2008: 54-65 |
51 | EE | Shigeo Abe: Comparison of sparse least squares support vector regressors trained in primal and dual. ESANN 2008: 469-474 |
50 | EE | Shigeo Abe: Batch Support Vector Training Based on Exact Incremental Training. ICANN (1) 2008: 295-304 |
49 | EE | Kazuki Iwamura, Shigeo Abe: Sparse support vector machines trained in the reduced empirical feature space. IJCNN 2008: 2398-2404 |
48 | EE | Tsuneyoshi Ishii, Shigeo Abe: Feature selection based on kernel discriminant analysis for multi-class problems. IJCNN 2008: 2455-2460 |
2007 | ||
47 | EE | Shigeo Abe: Optimizing kernel parameters by second-order methods. ESANN 2007: 259-264 |
46 | EE | Ryota Hosokawa, Shigeo Abe: Fuzzy Classifiers Based on Kernel Discriminant Analysis. ICANN (2) 2007: 180-189 |
45 | EE | Shigeo Abe, Kenta Onishi: Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space. ICANN (2) 2007: 527-536 |
44 | EE | Takashi Nagatani, Shigeo Abe: Backward Varilable Selection of Support Vector Regressors by Block Deletion. IJCNN 2007: 2117-2122 |
43 | EE | Yohei Takeuchi, Seiichi Ozawa, Shigeo Abe: An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection. IJCNN 2007: 2346-2351 |
42 | 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) |
41 | EE | Shigeo Abe: Sparse least squares support vector training in the reduced empirical feature space. Pattern Anal. Appl. 10(3): 203-214 (2007) |
2006 | ||
40 | EE | Yuya Kamada, Shigeo Abe: Support Vector Regression Using Mahalanobis Kernels. ANNPR 2006: 144-152 |
39 | EE | Shinya Katagiri, Shigeo Abe: Incremental Training of Support Vector Machines Using Truncated Hypercones. ANNPR 2006: 153-164 |
38 | EE | Yusuke Torii, Shigeo Abe: Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques. ANNPR 2006: 165-176 |
37 | EE | Masamichi Ashihara, Shigeo Abe: Feature Selection Based on Kernel Discriminant Analysis. ICANN (2) 2006: 282-291 |
36 | EE | Tao Ban, Shigeo Abe: Implementing Multi-class Classifiers by One-class Classification Methods. IJCNN 2006: 327-332 |
35 | EE | Takuya Kidera, Seiichi Ozawa, Shigeo Abe: An Incremental Learning Algorithm of Ensemble Classifier Systems. IJCNN 2006: 3421-3427 |
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 |