• 446 Citations
  • 10 h-Index
19942019

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2019

Band-restricted diagonally dominant matrices: Computational complexity and application

Takahashi, N., Hirata, D., Jinbo, S. & Yamamoto, H., May 2019, In : Journal of Computer and System Sciences. 101, p. 100-111 12 p.

Research output: Contribution to journalArticle

Reconstruction of CT images using iterative least-squares methods with nonnegative constraint

Kohno, H., Tanji, Y., Fujimoto, K., Kitajima, H., Horikawa, Y. & Takahashi, N., Mar 2019, In : Journal of Signal Processing. 23, 2, p. 41-18 8 p.

Research output: Contribution to journalArticle

Open Access
2018

A simple sufficient condition for convergence of projected consensus algorithm

Takahashi, N. & Kawashima, K., Jul 2018, In : IEEE Control Systems Letters. 2, 3, p. 537-542 6 p.

Research output: Contribution to journalArticle

2 Citations (Scopus)

A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization

Takahashi, N., Katayama, J., Seki, M. & Takeuchi, J., Sep 1 2018, In : Computational Optimization and Applications. 71, 1, p. 221-250 30 p.

Research output: Contribution to journalArticle

3 Citations (Scopus)
2017
2 Citations (Scopus)

Graphs that locally maximize clustering coefficient in the space of graphs with a fixed degree sequence

Fukami, T. & Takahashi, N., Jan 30 2017, In : Discrete Applied Mathematics. 217, p. 525-535 11 p.

Research output: Contribution to journalArticle

1 Citation (Scopus)
2015

Maximizing algebraic connectivity in the space of graphs with fixed number of vertices and edges

Ogiwara, K., Fukami, T. & Takahashi, N., 2015, In : IEEE Transactions on Control of Network Systems. PP, 99, 7336529.

Research output: Contribution to journalArticle

14 Citations (Scopus)

Global convergence of modified multiplicative updates for nonnegative matrix factorization

Takahashi, N. & Hibi, R., Mar 1 2014, In : Computational Optimization and Applications. 57, 2, p. 417-440 24 p.

Research output: Contribution to journalArticle

18 Citations (Scopus)

New classes of clustering coefficient locally maximizing graphs

Fukami, T. & Takahashi, N., Jan 10 2014, In : Discrete Applied Mathematics. 162, p. 202-213 12 p.

Research output: Contribution to journalArticle

5 Citations (Scopus)
2013

Explicit proof of an inequality related to the Omega-matrix

Takahashi, N., 2013, In : Nonlinear Theory and Its Applications, IEICE. 4, 4, p. 430-450 21 p.

Research output: Contribution to journalArticle

Sufficient conditions for one-dimensional cellular neural networks to perform connected component detection

Takahashi, N., Ishitobi, K. & Nishi, T., Oct 1 2010, In : Nonlinear Analysis: Real World Applications. 11, 5, p. 4202-4213 12 p.

Research output: Contribution to journalArticle

2 Citations (Scopus)

Global convergence of SMO algorithm for support vector regression

Takahashi, N., Guo, J. & Nishi, T., Dec 1 2008, In : IEEE Transactions on Neural Networks. 19, 6, p. 971-982 12 p.

Research output: Contribution to journalArticle

35 Citations (Scopus)

Stable patterns realized by a class of one-dimensional two-layer CNNs

Takahashi, N., Nagayoshi, M., Kawabata, S. & Nishi, T., Dec 1 2008, In : IEEE Transactions on Circuits and Systems I: Regular Papers. 55, 11, p. 3607-3620 14 p.

Research output: Contribution to journalArticle

3 Citations (Scopus)
2006
14 Citations (Scopus)

Global convergence of decomposition learning methods for support vector machines

Takahashi, N. & Nishi, T., Nov 1 2006, In : IEEE Transactions on Neural Networks. 17, 6, p. 1362-1369 8 p.

Research output: Contribution to journalArticle

25 Citations (Scopus)
10 Citations (Scopus)
1 Citation (Scopus)

Rigorous proof of termination of SMO algorithm for support vector machines

Takahashi, N. & Nishi, T., May 1 2005, In : IEEE Transactions on Neural Networks. 16, 3, p. 774-776 3 p.

Research output: Contribution to journalArticle

36 Citations (Scopus)
2 Citations (Scopus)