Norikazu Takahashi

Orcid: 0000-0001-8222-5593

According to our database1, Norikazu Takahashi authored at least 58 papers between 1990 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A New Boolean Matrix Factorization Algorithm Based on Cardano's Method.
Proceedings of the 7th International Conference on Information and Computer Technologies, 2024

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

Ensemble Learning in CNN Augmented with Fully Connected Subnetworks.
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

Uncalibrated Photometric Stereo Using Superquadrics with Texture Estimation.
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

Uncalibrated Photometric Stereo Using Superquadrics with Cast Shadow.
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

Uncalibrated Photometric Stereo Using Quadric Surfaces with Two Cameras.
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

A Novel NMF Algorithm for Detecting Clusters in Directed Networks.
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
A Simple Sufficient Condition for Convergence of Projected Consensus Algorithm.
IEEE Control. Syst. Lett., 2018

A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization.
Comput. Optim. Appl., 2018

Depth-First Search Algorithms for Finding a Generalized Moore Graph.
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
New classes of clustering coefficient locally maximizing graphs.
Discret. Appl. Math., 2014

Global convergence of modified multiplicative updates for nonnegative matrix factorization.
Comput. Optim. Appl., 2014

2013
Boundedness of modified multiplicative updates for nonnegative matrix factorization.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
Information Theoretic Limit of Single-Frame Super-Resolution.
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
On clustering coefficients of graphs with the fixed numbers of vertices and edges.
Proceedings of the 19th European Conference on Circuit Theory and Design, 2009

2008
Global Convergence of SMO Algorithm for Support Vector Regression.
IEEE Trans. Neural Networks, 2008

Stable Patterns Realized by a Class of One-Dimensional Two-Layer CNNs.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

Global Convergence Analysis of Decomposition Methods for Support Vector Regression.
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
Global Convergence of Decomposition Learning Methods for Support Vector Machines.
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

An Efficient Method for Simplifying Decision Functions of Support Vector Machines.
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

A Novel Sequential Minimal Optimization Algorithm for Support Vector Regression.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Rigorous proof of termination of SMO algorithm for support vector Machines.
IEEE Trans. Neural Networks, 2005

On complete stability of three-cell CNNs with opposite-sign templates.
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
A Learning Method for Robust Support Vector Machines.
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


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