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

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Entropy Engineering & Materials Science
Independent component analysis Engineering & Materials Science
Molten materials Engineering & Materials Science
Factorization Engineering & Materials Science
Steel Engineering & Materials Science
Electricity Engineering & Materials Science
Experiments Engineering & Materials Science
Neural networks Engineering & Materials Science

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Research Output 1994 2019

Localizing Current Dipoles from EEG Data Using a Birth-Death Process

Nakamura, K., Sonoda, S., Hino, H., Kawasaki, M., Akaho, S. & Murata, N., 2019 Jan 21, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 2645-2651 7 p. 8621504. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

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

Electroencephalography
Parturition
Space Simulation
Inverse problems
Experiments

Real-time botnet detection using nonnegative tucker decomposition

Kanehara, H., Takahashi, T., Murakami, Y., Inoue, D., Shimamura, J. & Murata, N., 2019 Jan 1, p. 1337-1344. 8 p.

Research output: Contribution to conferencePaper

Factorization
Decomposition
Tensors
Botnet
Data storage equipment

Retrieved Image Refinement by Bootstrap Outlier Test

Watanabe, H., Hino, H., Akaho, S. & Murata, N., 2019 Jan 1, Computer Analysis of Images and Patterns - 18th International Conference, CAIP 2019, Proceedings. Vento, M. & Percannella, G. (eds.). Springer-Verlag, p. 505-517 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11678 LNCS).

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

Bootstrap
Outlier
Refinement
Testing
Hypothesis Testing

Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization

Nagayama, M., Aritake, T., Hino, H., Kanda, T., Miyazaki, T., Yanagisawa, M., Akaho, S. & Murata, N., 2019 Jan 1, Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (eds.). Springer-Verlag, p. 102-113 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11727 LNCS).

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

Non-negative Matrix Factorization
Sleep
Factorization
Calcium
Imaging

Transport analysis of infinitely deep neural network

Sonoda, S. & Murata, N., 2019 Feb 1, In : Journal of Machine Learning Research. 20, p. 1-52 52 p.

Research output: Contribution to journalArticle

Denoising
Neural Networks
Continuum Limit
Integral Representation
Dynamical system