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Fingerprint Dive into the research topics where Norikazu Takahashi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Cellular neural networks Engineering & Materials Science
Factorization Engineering & Materials Science
Global Convergence Mathematics
Non-negative Matrix Factorization Mathematics
Support vector machines Engineering & Materials Science
Cellular Networks Mathematics
Neural Networks Mathematics
Sufficient Conditions Mathematics

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Research Output 1994 2019

  • 413 Citations
  • 10 h-Index
  • 65 Article
  • 29 Conference contribution
  • 1 Chapter

A Novel NMF Algorithm for Detecting Clusters in Directed Networks

Usuzaka, Y. & Takahashi, N., Apr 8 2019, 2019 International Conference on Computing, Networking and Communications, ICNC 2019. Institute of Electrical and Electronics Engineers Inc., p. 148-152 5 p. 8685549. (2019 International Conference on Computing, Networking and Communications, ICNC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Complex networks
Factorization

Depth-First Search Algorithms for Finding a Generalized Moore Graph

Satotani, Y. & Takahashi, N., Feb 22 2019, Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc., p. 832-837 6 p. 8650418. (IEEE Region 10 Annual International Conference, Proceedings/TENCON; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computer networks
Data communication systems
Experiments
1 Citation (Scopus)

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

Takahashi, N., Katayama, J., Seki, M. & Takeuchi, J., Mar 15 2018, (Accepted/In press) In : Computational Optimization and Applications. p. 1-30 30 p.

Research output: Contribution to journalArticle

Non-negative Matrix Factorization
Global Analysis
Factorization
Convergence Analysis
Global Convergence
2 Citations (Scopus)

A new decentralized discrete-time algorithm for estimating algebraic connectivity of multiagent networks

Endo, K. & Takahashi, N., Jan 3 2017, 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016. Institute of Electrical and Electronics Engineers Inc., p. 232-235 4 p. 7803941

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Experiments

A novel newton-type algorithm for nonnegative matrix factorization with alpha-divergence

Nakatsu, S. & Takahashi, N., Jan 1 2017, Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Springer Verlag, Vol. 10634 LNCS. p. 335-344 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10634 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Non-negative Matrix Factorization
Factorization
Divergence
Subsequence
Coordinate Descent