Boolean technology mapping for both ECI and CMOS circuits based on permissible functions and binary decision diagrams. - Hitomi Sato; Norikazu Takahashi; Yusuke Matsunaga; Masahiro Fujita (ICCD, 1990)

Necessary and sufficient conditions for one-dimensional discrete-time binary cellular neural networks with both A- and B-templates to be stable. - Tetsuo Nishi; Hidenori Sato; Norikazu Takahashi (ISCAS (1), 2002)

Necessary and Sufficient Conditions for One-Dimensional Discrete-Time Binary Cellular Neural Networks with Unspecified Fixed Boundaries to Be Stable. - Hidenori Sato; Tetsuo Nishi; Norikazu Takahashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2002)

A Generalization of Some Complete Stability Conditions for Cellular Neural Networks with Delay. - Norikazu Takahashi; Tetsuo Nishi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2002)

A Method for Solving Optimization Problems with Equality Constraints by Using the SPICE Program. - Jun Guo; Tetsuo Nishi; Norikazu Takahashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003)

Global convergence analysis of decomposition methods for support vector machines. - Norikazu Takahashi; Tetsuo Nishi (ISCAS (5), 2004)

A Learning Method for Robust Support Vector Machines. - Jun Guo; Norikazu Takahashi; Tetsuo Nishi (ISNN (1), 2004)

A learning algorithm for improving the classification speed of support vector machines. - Jun Guo; Norikazu Takahashi; Tetsuo Nishi (ECCTD, 2005)

Realization of limit cycles by neural networks with piecewise linear activation function. - Norikazu Takahashi; Tsuyoshi Yamakawa; Tetsuo Nishi (ECCTD, 2005)

A learning algorithm for enhancing the generalization ability of support vector machines. - Jun Guo; Norikazu Takahashi; Tetsuo Nishi (ISCAS (4), 2005)

On complete stability of three-cell CNNs with opposite-sign templates. - Norikazu Takahashi; Tetsuo Nishi (ISCAS (5), 2005)

Rigorous proof of termination of SMO algorithm for support vector Machines. - Norikazu Takahashi; Tetsuo Nishi (IEEE Trans. Neural Networks, 2005)

A Novel Sequential Minimal Optimization Algorithm for Support Vector Regression. - Jun Guo; Norikazu Takahashi; Tetsuo Nishi (ICONIP (1), 2006)

Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression. - Jun Guo; Norikazu Takahashi; Tetsuo Nishi (IJCNN, 2006)

A sufficient condition for 1D CNNs with antisymmetric templates to perform connected component detection. - Norikazu Takahashi; Tetsuo Nishi (ISCAS, 2006)

An Efficient Method for Simplifying Decision Functions of Support Vector Machines. - Jun Guo; Norikazu Takahashi; Tetsuo Nishi (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. - Tetsuo Nishi; Hajime Hara; Norikazu Takahashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006)

Necessary and Sufficient Conditions for One-Dimensional Discrete-Time Autonomous Binary Cellular Neural Networks to Be Stable. - Tetsuo Nishi; Norikazu Takahashi; Hajime Hara (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006)

Necessary and Sufficient Condition for a Class of Planar Dynamical Systems Related to CNNs to be Completely Stable. - Norikazu Takahashi; Tetsuo Nishi (IEEE Trans. Circuits Syst. II Express Briefs, 2006)

Global Convergence of Decomposition Learning Methods for Support Vector Machines. - Norikazu Takahashi; Tetsuo Nishi (IEEE Trans. Neural Networks, 2006)

Sufficient Conditions for 1-D CNNs with Opposite-Sign Templates to Perform Connected Component Detection. - Norikazu Takahashi; Ken Ishitobi; Tetsuo Nishi (ISCAS, 2007)

On asymptotic behavior of state trajectories of piecewise-linear recurrent neural networks generating periodic sequence of binary vectors. - Norikazu Takahashi; Yasuhiro Minetoma (IJCNN, 2008)

Global Convergence Analysis of Decomposition Methods for Support Vector Regression. - Jun Guo; Norikazu Takahashi (ISNN (1), 2008)

Stable Patterns Realized by a Class of One-Dimensional Two-Layer CNNs. - Norikazu Takahashi; Makoto Nagayoshi; Susumu Kawabata; Tetsuo Nishi (IEEE Trans. Circuits Syst. I Regul. Pap., 2008)

Global Convergence of SMO Algorithm for Support Vector Regression. - Norikazu Takahashi; Jun Guo; Tetsuo Nishi (IEEE Trans. Neural Networks, 2008)

On clustering coefficients of graphs with the fixed numbers of vertices and edges. - Norikazu Takahashi (ECCTD, 2009)

A Modified Multiplicative Update Algorithm for Euclidean Distance-Based Nonnegative Matrix Factorization and Its Global Convergence. - Ryota Hibi; Norikazu Takahashi (ICONIP (2), 2011)

Information Theoretic Limit of Single-Frame Super-Resolution. - Kotaro Yamaguchi; Masanori Kawakita; Norikazu Takahashi; Jun'ichi Takeuchi (EST, 2012)

Boundedness of modified multiplicative updates for nonnegative matrix factorization. - Jiro Katayama; Norikazu Takahashi; Jun'ichi Takeuchi (CAMSAP, 2013)

Global convergence of modified multiplicative updates for nonnegative matrix factorization. - Norikazu Takahashi; Ryota Hibi (Comput. Optim. Appl., 2014)

New classes of clustering coefficient locally maximizing graphs. - Tatsuya Fukami; Norikazu Takahashi (Discret. Appl. Math., 2014)

Global convergence of a modified HALS algorithm for nonnegative matrix factorization. - Takumi Kimura; Norikazu Takahashi (CAMSAP, 2015)

A new decentralized discrete-time algorithm for estimating algebraic connectivity of multiagent networks. - Kento Endo; Norikazu Takahashi (APCCAS, 2016)

Multiplicative update for a class of constrained optimization problems related to NMF and its global convergence. - Norikazu Takahashi; Masato Seki (EUSIPCO, 2016)

A Novel Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence. - Satoshi Nakatsu; Norikazu Takahashi (ICONIP (1), 2017)

Graphs that locally maximize clustering coefficient in the space of graphs with a fixed degree sequence. - Tatsuya Fukami; Norikazu Takahashi (Discret. Appl. Math., 2017)

Gauss-Seidel HALS Algorithm for Nonnegative Matrix Factorization with Sparseness and Smoothness Constraints. - Takumi Kimura; Norikazu Takahashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Maximizing Algebraic Connectivity in the Space of Graphs With a Fixed Number of Vertices and Edges. - Kohnosuke Ogiwara; Tatsuya Fukami; Norikazu Takahashi (IEEE Trans. Control. Netw. Syst., 2017)

Depth-First Search Algorithms for Finding a Generalized Moore Graph. - Yoshiki Satotani; Norikazu Takahashi (TENCON, 2018)

A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization. - Norikazu Takahashi; Jiro Katayama; Masato Seki; Jun'ichi Takeuchi (Comput. Optim. Appl., 2018)

A Simple Sufficient Condition for Convergence of Projected Consensus Algorithm. - Norikazu Takahashi; Kosuke Kawashima (IEEE Control. Syst. Lett., 2018)

Mutual Relationship between the Neural Network Model and Linear Complexity for Pseudorandom Binary Number Sequence. - Yuki Taketa; Yuta Kodera; Shogo Tanida; Takuya Kusaka; Yasuyuki Nogami; Norikazu Takahashi; Satoshi Uehara (CANDAR Workshops, 2019)

A Novel NMF Algorithm for Detecting Clusters in Directed Networks. - Yoshito Usuzaka; Norikazu Takahashi (ICNC, 2019)

A Damped Newton Algorithm for Nonnegative Matrix Factorization Based on Alpha-Divergence. - Takehiro Sano; Tsuyoshi Migita; Norikazu Takahashi (ICSAI, 2019)

A Distributed HALS Algorithm for Euclidean Distance-Based Nonnegative Matrix Factorization. - Yohei Domen; Tsuyoshi Migita; Norikazu Takahashi (SSCI, 2019)

An Infinity Norm-Based Pseudo-Decentralized Discrete-Time Algorithm for Computing Algebraic Connectivity. - Katsuki Shimada; Tsuyoshi Migita; Norikazu Takahashi (SSCI, 2019)

Band-restricted diagonally dominant matrices: Computational complexity and application. - Norikazu Takahashi; Daiki Hirata; Shuji Jimbo; Hiroaki Yamamoto (J. Comput. Syst. Sci., 2019)

Uncalibrated Photometric Stereo Using Quadric Surfaces with Two Cameras. - Takumi Nasu; Tsuyoshi Migita; Takeshi Shakunaga; Norikazu Takahashi (IW-FCV, 2020)

Element-Wise Alternating Least Squares Algorithm for Nonnegative Matrix Factorization on One-Hot Encoded Data. - Zhuo Wu; Tsuyoshi Migita; Norikazu Takahashi (ICONIP (5), 2020)

A Genetic Algorithm for Finding Regular Graphs with Minimum Average Shortest Path Length. - Reiji Hayashi; Tsuyoshi Migita; Norikazu Takahashi (SSCI, 2020)

Uncalibrated Photometric Stereo Using Superquadrics with Cast Shadow. - Takumi Nasu; Tsuyoshi Migita; Norikazu Takahashi (IW-FCV, 2021)

An Algorithm for Randomized Nonnegative Matrix Factorization and Its Global Convergence. - Takao Masuda; Tsuyoshi Migita; Norikazu Takahashi (SSCI, 2021)

Uncalibrated Photometric Stereo Using Superquadrics with Texture Estimation. - Tsuyoshi Migita; Ayane Okada; Norikazu Takahashi (IW-FCV, 2022)

A novel update rule of HALS algorithm for nonnegative matrix factorization and Zangwill's global convergence. - Takehiro Sano; Tsuyoshi Migita; Norikazu Takahashi (J. Glob. Optim., 2022)

An algorithm for updating betweenness centrality scores of all vertices in a graph upon deletion of a single edge. - Yoshiki Satotani; Tsuyoshi Migita; Norikazu Takahashi (J. Complex Networks, 2022)

Ensemble Learning in CNN Augmented with Fully Connected Subnetworks. - Daiki Hirata; Norikazu Takahashi (IEICE Trans. Inf. Syst., 2023)

Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors. - Norikazu Takahashi; Tsuyoshi Yamakawa; Yasuhiro Minetoma; Tetsuo Nishi; Tsuyoshi Migita (Neural Networks, 2023)

Depth-First Search Algorithms for Algebraic Connectivity Maximizing Regular Graphs. - Masashi Kurahashi; Najd Salaani; Tsuyoshi Migita; Norikazu Takahashi (CANDAR, 2024)

A New Boolean Matrix Factorization Algorithm Based on Cardano's Method. - Han Xiao; Tsuyoshi Migita; Norikazu Takahashi (ICICT, 2024)

Distributed Lasso Algorithm Based on Alternating Direction Method of Multipliers. - Naoki Toda; Tsuyoshi Migita; Norikazu Takahashi (ICRSA, 2024)

A Genetic Algorithm Approach to Euclidean Steiner Tree Problem. - Liping Zhang; Tsuyoshi Migita; Norikazu Takahashi (ICRSA, 2024)