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Norikazu Takahashi

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2008
15EENorikazu Takahashi, Yasuhiro Minetoma: On asymptotic behavior of state trajectories of piecewise-linear recurrent neural networks generating periodic sequence of binary vectors. IJCNN 2008: 484-489
14EEJun Guo, Norikazu Takahashi: Global Convergence Analysis of Decomposition Methods for Support Vector Regression. ISNN (1) 2008: 663-673
2007
13EENorikazu Takahashi, Ken Ishitobi, Tetsuo Nishi: Sufficient Conditions for 1-D CNNs with Opposite-Sign Templates to Perform Connected Component Detection. ISCAS 2007: 3159-3162
2006
12EEJun Guo, Norikazu Takahashi, Tetsuo Nishi: A Novel Sequential Minimal Optimization Algorithm for Support Vector Regression. ICONIP (1) 2006: 827-836
11EEJun Guo, Norikazu Takahashi, Tetsuo Nishi: Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression. IJCNN 2006: 355-362
10EENorikazu Takahashi, Tetsuo Nishi: A sufficient condition for 1D CNNs with antisymmetric templates to perform connected component detection. ISCAS 2006
9EENorikazu Takahashi, Tetsuo Nishi: Global Convergence of Decomposition Learning Methods for Support Vector Machines. IEEE Transactions on Neural Networks 17(6): 1362-1369 (2006)
8EEJun Guo, Norikazu Takahashi, Tetsuo Nishi: An Efficient Method for Simplifying Decision Functions of Support Vector Machines. IEICE Transactions 89-A(10): 2795-2802 (2006)
7EETetsuo Nishi, Hajime Hara, Norikazu Takahashi: Necessary and Sufficient Conditions for a 1-D DBCNN with an Input to Be Stable in terms of Connection Coefficients. IEICE Transactions 89-A(10): 2825-2832 (2006)
6EETetsuo Nishi, Norikazu Takahashi, Hajime Hara: Necessary and Sufficient Conditions for One-Dimensional Discrete-Time Autonomous Binary Cellular Neural Networks to Be Stable. IEICE Transactions 89-A(12): 3693-3698 (2006)
2005
5EEJun Guo, Norikazu Takahashi, Tetsuo Nishi: A learning algorithm for enhancing the generalization ability of support vector machines. ISCAS (4) 2005: 3631-3634
4EENorikazu Takahashi, Tetsuo Nishi: On complete stability of three-cell CNNs with opposite-sign templates. ISCAS (5) 2005: 4673-4676
2004
3 Norikazu Takahashi, Tetsuo Nishi: Global convergence analysis of decomposition methods for support vector machines. ISCAS (5) 2004: 728-731
2EEJun Guo, Norikazu Takahashi, Tetsuo Nishi: A Learning Method for Robust Support Vector Machines. ISNN (1) 2004: 474-479
2002
1EETetsuo Nishi, H. Sato, Norikazu Takahashi: Necessary and sufficient conditions for one-dimensional discrete-time binary cellular neural networks with both A- and B-templates to be stable. ISCAS (1) 2002: 633-636

Coauthor Index

1Jun Guo [2] [5] [8] [11] [12] [14]
2Hajime Hara [6] [7]
3Ken Ishitobi [13]
4Yasuhiro Minetoma [15]
5Tetsuo Nishi [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13]
6H. Sato [1]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)