Ensemble Learning in CNN Augmented with Fully Connected Subnetworks von HIRATA, Daiki, TAKAHASHI, Norikazu

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Gauss-Seidel HALS Algorithm for Nonnegative Matrix Factorization with Sparseness and Smoothness Constraints von KIMURA, Takumi, TAKAHASHI, Norikazu

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Global convergence of modified multiplicative updates for nonnegative matrix factorization von Takahashi, Norikazu, Hibi, Ryota

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A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization von Takahashi, Norikazu, Katayama, Jiro, Seki, Masato, Takeuchi, Jun’ichi

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New classes of clustering coefficient locally maximizing graphs von Fukami, Tatsuya, Takahashi, Norikazu

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A Modified Multiplicative Update Algorithm for Euclidean Distance-Based Nonnegative Matrix Factorization and Its Global Convergence von Hibi, Ryota, Takahashi, Norikazu

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Element-Wise Alternating Least Squares Algorithm for Nonnegative Matrix Factorization on One-Hot Encoded Data von Wu, Zhuo, Migita, Tsuyoshi, Takahashi, Norikazu

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Reconstruction of CT Images Using Iterative Least-Squares Methods with Nonnegative Constraint von Kohno, Hiromasa, Tanji, Yuichi, Fujimoto, Ken'ichi, Kitajima, Hiroyuki, Horikawa, Yo, Takahashi, Norikazu

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A novel update rule of HALS algorithm for nonnegative matrix factorization and Zangwill’s global convergence von Sano, Takehiro, Migita, Tsuyoshi, Takahashi, Norikazu

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Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors von Takahashi, Norikazu, Yamakawa, Tsuyoshi, Minetoma, Yasuhiro, Nishi, Tetsuo, Migita, Tsuyoshi

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Graphs that locally maximize clustering coefficient in the space of graphs with a fixed degree sequence von Fukami, Tatsuya, Takahashi, Norikazu

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Maximizing Algebraic Connectivity in the Space of Graphs With a Fixed Number of Vertices and Edges von Ogiwara, Kohnosuke, Fukami, Tatsuya, Takahashi, Norikazu

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An algorithm for updating betweenness centrality scores of all vertices in a graph upon deletion of a single edge von Satotani, Yoshiki, Migita, Tsuyoshi, Takahashi, Norikazu

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A Simple Sufficient Condition for Convergence of Projected Consensus Algorithm von Takahashi, Norikazu, Kawashima, Kosuke

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Band-restricted diagonally dominant matrices: Computational complexity and application von Takahashi, Norikazu, Hirata, Daiki, Jimbo, Shuji, Yamamoto, Hiroaki

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A Novel Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence von Nakatsu, Satoshi, Takahashi, Norikazu

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Global Convergence of SMO Algorithm for Support Vector Regression von Takahashi, N., Jun Guo, Nishi, T.

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Global Convergence of Decomposition Learning Methods for Support Vector Machines von Takahashi, N., Nishi, T.

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Rigorous proof of termination of SMO algorithm for support vector Machines von Takahashi, N., Nishi, T.

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Microstructure Evolution in Mg-Zn-(Y, Gd) Casts von Okamoto, Kazutaka, Takahashi, Norikazu, Sasaki, Masato

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