Norikazu Takahashi
Orcid: 0000-0001-8222-5593
According to our database1,
Norikazu Takahashi
authored at least 57 papers
between 1990 and 2023.
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Bibliography
2023
Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors.
Neural Networks, July, 2023
IEICE Trans. Inf. Syst., July, 2023
2022
An algorithm for updating betweenness centrality scores of all vertices in a graph upon deletion of a single edge.
J. Complex Networks, June, 2022
A novel update rule of HALS algorithm for nonnegative matrix factorization and Zangwill's global convergence.
J. Glob. Optim., 2022
Proceedings of the Frontiers of Computer Vision - 28th International Workshop, 2022
2021
An Algorithm for Randomized Nonnegative Matrix Factorization and Its Global Convergence.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the Frontiers of Computer Vision - 27th International Workshop, 2021
2020
A Genetic Algorithm for Finding Regular Graphs with Minimum Average Shortest Path Length.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Element-Wise Alternating Least Squares Algorithm for Nonnegative Matrix Factorization on One-Hot Encoded Data.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Frontiers of Computer Vision - 26th International Workshop, 2020
2019
Band-restricted diagonally dominant matrices: Computational complexity and application.
J. Comput. Syst. Sci., 2019
An Infinity Norm-Based Pseudo-Decentralized Discrete-Time Algorithm for Computing Algebraic Connectivity.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Distributed HALS Algorithm for Euclidean Distance-Based Nonnegative Matrix Factorization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Damped Newton Algorithm for Nonnegative Matrix Factorization Based on Alpha-Divergence.
Proceedings of the 6th International Conference on Systems and Informatics, 2019
Proceedings of the International Conference on Computing, Networking and Communications, 2019
Mutual Relationship between the Neural Network Model and Linear Complexity for Pseudorandom Binary Number Sequence.
Proceedings of the Seventh International Symposium on Computing and Networking Workshops, 2019
2018
IEEE Control. Syst. Lett., 2018
A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization.
Comput. Optim. Appl., 2018
Proceedings of the TENCON 2018, 2018
2017
Maximizing Algebraic Connectivity in the Space of Graphs With a Fixed Number of Vertices and Edges.
IEEE Trans. Control. Netw. Syst., 2017
Gauss-Seidel HALS Algorithm for Nonnegative Matrix Factorization with Sparseness and Smoothness Constraints.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017
Graphs that locally maximize clustering coefficient in the space of graphs with a fixed degree sequence.
Discret. Appl. Math., 2017
A Novel Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Multiplicative update for a class of constrained optimization problems related to NMF and its global convergence.
Proceedings of the 24th European Signal Processing Conference, 2016
A new decentralized discrete-time algorithm for estimating algebraic connectivity of multiagent networks.
Proceedings of the 2016 IEEE Asia Pacific Conference on Circuits and Systems, 2016
2015
Global convergence of a modified HALS algorithm for nonnegative matrix factorization.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
2014
Discret. Appl. Math., 2014
Global convergence of modified multiplicative updates for nonnegative matrix factorization.
Comput. Optim. Appl., 2014
2013
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013
2012
Proceedings of the 2012 Third International Conference on Emerging Security Technologies, 2012
2011
A Modified Multiplicative Update Algorithm for Euclidean Distance-Based Nonnegative Matrix Factorization and Its Global Convergence.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
2009
Proceedings of the 19th European Conference on Circuit Theory and Design, 2009
2008
IEEE Trans. Neural Networks, 2008
IEEE Trans. Circuits Syst. I Regul. Pap., 2008
Proceedings of the Advances in Neural Networks, 2008
On asymptotic behavior of state trajectories of piecewise-linear recurrent neural networks generating periodic sequence of binary vectors.
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Sufficient Conditions for 1-D CNNs with Opposite-Sign Templates to Perform Connected Component Detection.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
2006
IEEE Trans. Neural Networks, 2006
Necessary and Sufficient Condition for a Class of Planar Dynamical Systems Related to CNNs to be Completely Stable.
IEEE Trans. Circuits Syst. II Express Briefs, 2006
Necessary and Sufficient Conditions for One-Dimensional Discrete-Time Autonomous Binary Cellular Neural Networks to Be Stable.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006
Necessary and Sufficient Conditions for a 1-D DBCNN with an Input to Be Stable in terms of Connection Coefficients.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006
A sufficient condition for 1D CNNs with antisymmetric templates to perform connected component detection.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression.
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2005
IEEE Trans. Neural Networks, 2005
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005
A learning algorithm for enhancing the generalization ability of support vector machines.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005
Realization of limit cycles by neural networks with piecewise linear activation function.
Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005
A learning algorithm for improving the classification speed of support vector machines.
Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005
2004
Proceedings of the Advances in Neural Networks, 2004
Global convergence analysis of decomposition methods for support vector machines.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004
2003
A Method for Solving Optimization Problems with Equality Constraints by Using the SPICE Program.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003
2002
A Generalization of Some Complete Stability Conditions for Cellular Neural Networks with Delay.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2002
Necessary and Sufficient Conditions for One-Dimensional Discrete-Time Binary Cellular Neural Networks with Unspecified Fixed Boundaries to Be Stable.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2002
Necessary and sufficient conditions for one-dimensional discrete-time binary cellular neural networks with both A- and B-templates to be stable.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002
1990
Boolean technology mapping for both ECI and CMOS circuits based on permissible functions and binary decision diagrams.
Proceedings of the 1990 IEEE International Conference on Computer Design: VLSI in Computers and Processors, 1990