Norikazu Takahashi

63 papers B 2C 4Misc 1Journal 25Unranked 31
YearRankTypeTitle / Venue / Authors
2025 J jnl
Algebraic Connectivity Maximizing Regular Graphs: Special Case Analysis and Depth-First Search.
Concurr. Comput. Pract. Exp.
Masashi Kurahashi, Najd Salaani, Tsuyoshi Migita, Norikazu Takahashi
2024 — conf
A Genetic Algorithm Approach to Euclidean Steiner Tree Problem.
ICRSA
Liping Zhang, Tsuyoshi Migita, Norikazu Takahashi
2024 — conf
A New Boolean Matrix Factorization Algorithm Based on Cardano's Method.
ICICT
Han Xiao, Tsuyoshi Migita, Norikazu Takahashi
2024 — conf
Depth-First Search Algorithms for Algebraic Connectivity Maximizing Regular Graphs.
CANDAR
Masashi Kurahashi, Najd Salaani, Tsuyoshi Migita, Norikazu Takahashi
2024 — conf
Distributed Lasso Algorithm Based on Alternating Direction Method of Multipliers.
ICRSA
Naoki Toda, Tsuyoshi Migita, Norikazu Takahashi
2023 J jnl
Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors.
Neural Networks
Norikazu Takahashi, Tsuyoshi Yamakawa, Yasuhiro Minetoma, Tetsuo Nishi, Tsuyoshi Migita
2023 J jnl
Ensemble Learning in CNN Augmented with Fully Connected Subnetworks.
IEICE Trans. Inf. Syst.
Daiki Hirata, Norikazu Takahashi
2022 J jnl
A novel update rule of HALS algorithm for nonnegative matrix factorization and Zangwill's global convergence.
J. Glob. Optim.
Takehiro Sano, Tsuyoshi Migita, Norikazu Takahashi
2022 J jnl
An algorithm for updating betweenness centrality scores of all vertices in a graph upon deletion of a single edge.
J. Complex Networks
Yoshiki Satotani, Tsuyoshi Migita, Norikazu Takahashi
2022 — conf
Uncalibrated Photometric Stereo Using Superquadrics with Texture Estimation.
IW-FCV
Tsuyoshi Migita, Ayane Okada, Norikazu Takahashi
2021 — conf
An Algorithm for Randomized Nonnegative Matrix Factorization and Its Global Convergence.
SSCI
Takao Masuda, Tsuyoshi Migita, Norikazu Takahashi
2021 — conf
Uncalibrated Photometric Stereo Using Superquadrics with Cast Shadow.
IW-FCV
Takumi Nasu, Tsuyoshi Migita, Norikazu Takahashi
2020 — conf
A Genetic Algorithm for Finding Regular Graphs with Minimum Average Shortest Path Length.
SSCI
Reiji Hayashi, Tsuyoshi Migita, Norikazu Takahashi
2020 — conf
Element-Wise Alternating Least Squares Algorithm for Nonnegative Matrix Factorization on One-Hot Encoded Data.
ICONIP (5)
Zhuo Wu, Tsuyoshi Migita, Norikazu Takahashi
2020 J jnl
Ensemble learning in CNN augmented with fully connected subnetworks.
CoRR
Daiki Hirata, Norikazu Takahashi
2020 — conf
Uncalibrated Photometric Stereo Using Quadric Surfaces with Two Cameras.
IW-FCV
Takumi Nasu, Tsuyoshi Migita, Takeshi Shakunaga, Norikazu Takahashi
2019 — conf
A Damped Newton Algorithm for Nonnegative Matrix Factorization Based on Alpha-Divergence.
ICSAI
Takehiro Sano, Tsuyoshi Migita, Norikazu Takahashi
2019 — conf
A Distributed HALS Algorithm for Euclidean Distance-Based Nonnegative Matrix Factorization.
SSCI
Yohei Domen, Tsuyoshi Migita, Norikazu Takahashi
2019 Misc conf
A Novel NMF Algorithm for Detecting Clusters in Directed Networks.
ICNC
Yoshito Usuzaka, Norikazu Takahashi
2019 — conf
An Infinity Norm-Based Pseudo-Decentralized Discrete-Time Algorithm for Computing Algebraic Connectivity.
SSCI
Katsuki Shimada, Tsuyoshi Migita, Norikazu Takahashi
2019 J jnl
Band-restricted diagonally dominant matrices: Computational complexity and application.
J. Comput. Syst. Sci.
Norikazu Takahashi, Daiki Hirata, Shuji Jimbo, Hiroaki Yamamoto
2019 — conf
Mutual Relationship between the Neural Network Model and Linear Complexity for Pseudorandom Binary Number Sequence.
CANDAR Workshops
Yuki Taketa, Yuta Kodera, Shogo Tanida, Takuya Kusaka, Yasuyuki Nogami, Norikazu Takahashi, Satoshi Uehara
2018 J jnl
A Simple Sufficient Condition for Convergence of Projected Consensus Algorithm.
IEEE Control. Syst. Lett.
Norikazu Takahashi, Kosuke Kawashima
2018 J jnl
A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization.
Comput. Optim. Appl.
Norikazu Takahashi, Jiro Katayama, Masato Seki, Jun'ichi Takeuchi
2018 C conf
Depth-First Search Algorithms for Finding a Generalized Moore Graph.
TENCON
Yoshiki Satotani, Norikazu Takahashi
2017 — conf
A Novel Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence.
ICONIP (1)
Satoshi Nakatsu, Norikazu Takahashi
2017 J jnl
Gauss-Seidel HALS Algorithm for Nonnegative Matrix Factorization with Sparseness and Smoothness Constraints.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Takumi Kimura, Norikazu Takahashi
2017 J jnl
Graphs that locally maximize clustering coefficient in the space of graphs with a fixed degree sequence.
Discret. Appl. Math.
Tatsuya Fukami, Norikazu Takahashi
2017 J jnl
Maximizing Algebraic Connectivity in the Space of Graphs With a Fixed Number of Vertices and Edges.
IEEE Trans. Control. Netw. Syst.
Kohnosuke Ogiwara, Tatsuya Fukami, Norikazu Takahashi
2016 — conf
A new decentralized discrete-time algorithm for estimating algebraic connectivity of multiagent networks.
APCCAS
Kento Endo, Norikazu Takahashi
2016 — conf
Multiplicative update for a class of constrained optimization problems related to NMF and its global convergence.
EUSIPCO
Norikazu Takahashi, Masato Seki
2015 — conf
Global convergence of a modified HALS algorithm for nonnegative matrix factorization.
CAMSAP
Takumi Kimura, Norikazu Takahashi
2014 J jnl
Global convergence of modified multiplicative updates for nonnegative matrix factorization.
Comput. Optim. Appl.
Norikazu Takahashi, Ryota Hibi
2014 J jnl
New classes of clustering coefficient locally maximizing graphs.
Discret. Appl. Math.
Tatsuya Fukami, Norikazu Takahashi
2013 — conf
Boundedness of modified multiplicative updates for nonnegative matrix factorization.
CAMSAP
Jiro Katayama, Norikazu Takahashi, Jun'ichi Takeuchi
2012 — conf
Information Theoretic Limit of Single-Frame Super-Resolution.
EST
Kotaro Yamaguchi, Masanori Kawakita, Norikazu Takahashi, Jun'ichi Takeuchi
2011 — conf
A Modified Multiplicative Update Algorithm for Euclidean Distance-Based Nonnegative Matrix Factorization and Its Global Convergence.
ICONIP (2)
Ryota Hibi, Norikazu Takahashi
2009 — conf
On clustering coefficients of graphs with the fixed numbers of vertices and edges.
ECCTD
Norikazu Takahashi
2008 — conf
Global Convergence Analysis of Decomposition Methods for Support Vector Regression.
ISNN (1)
Jun Guo, Norikazu Takahashi
2008 J jnl
Global Convergence of SMO Algorithm for Support Vector Regression.
IEEE Trans. Neural Networks
Norikazu Takahashi, Jun Guo, Tetsuo Nishi
2008 B conf
On asymptotic behavior of state trajectories of piecewise-linear recurrent neural networks generating periodic sequence of binary vectors.
IJCNN
Norikazu Takahashi, Yasuhiro Minetoma
2008 J jnl
Stable Patterns Realized by a Class of One-Dimensional Two-Layer CNNs.
IEEE Trans. Circuits Syst. I Regul. Pap.
Norikazu Takahashi, Makoto Nagayoshi, Susumu Kawabata, Tetsuo Nishi
2007 C conf
Sufficient Conditions for 1-D CNNs with Opposite-Sign Templates to Perform Connected Component Detection.
ISCAS
Norikazu Takahashi, Ken Ishitobi, Tetsuo Nishi
2006 — conf
A Novel Sequential Minimal Optimization Algorithm for Support Vector Regression.
ICONIP (1)
Jun Guo, Norikazu Takahashi, Tetsuo Nishi
2006 C conf
A sufficient condition for 1D CNNs with antisymmetric templates to perform connected component detection.
ISCAS
Norikazu Takahashi, Tetsuo Nishi
2006 J jnl
An Efficient Method for Simplifying Decision Functions of Support Vector Machines.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Jun Guo, Norikazu Takahashi, Tetsuo Nishi
2006 B conf
Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression.
IJCNN
Jun Guo, Norikazu Takahashi, Tetsuo Nishi
2006 J jnl
Global Convergence of Decomposition Learning Methods for Support Vector Machines.
IEEE Trans. Neural Networks
Norikazu Takahashi, Tetsuo Nishi
2006 J jnl
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
Norikazu Takahashi, Tetsuo Nishi
2006 J jnl
Necessary and Sufficient Conditions for One-Dimensional Discrete-Time Autonomous Binary Cellular Neural Networks to Be Stable.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Tetsuo Nishi, Norikazu Takahashi, Hajime Hara
2006 J jnl
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.
Tetsuo Nishi, Hajime Hara, Norikazu Takahashi
2005 — conf
A learning algorithm for enhancing the generalization ability of support vector machines.
ISCAS (4)
Jun Guo, Norikazu Takahashi, Tetsuo Nishi
2005 — conf
A learning algorithm for improving the classification speed of support vector machines.
ECCTD
Jun Guo, Norikazu Takahashi, Tetsuo Nishi
2005 — conf
On complete stability of three-cell CNNs with opposite-sign templates.
ISCAS (5)
Norikazu Takahashi, Tetsuo Nishi
2005 — conf
Realization of limit cycles by neural networks with piecewise linear activation function.
ECCTD
Norikazu Takahashi, Tsuyoshi Yamakawa, Tetsuo Nishi
2005 J jnl
Rigorous proof of termination of SMO algorithm for support vector Machines.
IEEE Trans. Neural Networks
Norikazu Takahashi, Tetsuo Nishi
2004 — conf
A Learning Method for Robust Support Vector Machines.
ISNN (1)
Jun Guo, Norikazu Takahashi, Tetsuo Nishi
2004 — conf
Global convergence analysis of decomposition methods for support vector machines.
ISCAS (5)
Norikazu Takahashi, Tetsuo Nishi
2003 J jnl
A Method for Solving Optimization Problems with Equality Constraints by Using the SPICE Program.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Jun Guo, Tetsuo Nishi, Norikazu Takahashi
2002 J jnl
A Generalization of Some Complete Stability Conditions for Cellular Neural Networks with Delay.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Norikazu Takahashi, Tetsuo Nishi
2002 J jnl
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.
Hidenori Sato, Tetsuo Nishi, Norikazu Takahashi
2002 — conf
Necessary and sufficient conditions for one-dimensional discrete-time binary cellular neural networks with both A- and B-templates to be stable.
ISCAS (1)
Tetsuo Nishi, Hidenori Sato, Norikazu Takahashi
1990 C conf
Boolean technology mapping for both ECI and CMOS circuits based on permissible functions and binary decision diagrams.
ICCD
Hitomi Sato, Norikazu Takahashi, Yusuke Matsunaga, Masahiro Fujita