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 |