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Detection of the Structure of Particle Velocity Distribution by Finite Mixture Distribution Model

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Discovery Science (DS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1721))

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References

  1. Nakamura, N., S. Konishi and N. Ohsumi: Classification of remotely sensed images via finite mixture distribution models, Proceedings of the institute of statistical mathematics, Vol. 41, No.2, (1993) 149–167

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  2. Mukai, T., S. Machida, Y. Saito, M. Hirahara, T. Terasawa, N. Kaya, T. Obara, M. Ejiri and A. Nishida: The low energy particle (LEP) experiment onboard the Geotail satellite, J. Geomag. Geoelectr., Vol.46, (1994) 669–692

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Author information

Authors and Affiliations

  1. Department of Geophysics, Graduate School of Science, Kyoto University, Kyoto, 606-8502, Japan

    Genta Ueno, Shinobu Machida & Tohru Araki

  2. Faculty of Economics, Sapporo Gakuin University, Hokkaido, 069-8555, Japan

    Nagatomo Nakamura

  3. The Institute of Statistical Mathematics, Tokyo, 106-8569, Japan

    Tomoyuki Higuchi

Authors
  1. Genta Ueno
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  2. Shinobu Machida
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  3. Nagatomo Nakamura
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  4. Tomoyuki Higuchi
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  5. Tohru Araki
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Editor information

Editors and Affiliations

  1. Department of Informatics, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka, 812-8581, Japan

    Setsuo Arikawa

  2. Graduate School of Media and Governance, Keio University, 5322 Endoh, Fujisawa-shi, Kanagawa, 252-8520, Japan

    Koichi Furukawa

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© 1999 Springer-Verlag Berlin Heidelberg

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Ueno, G., Machida, S., Nakamura, N., Higuchi, T., Araki, T. (1999). Detection of the Structure of Particle Velocity Distribution by Finite Mixture Distribution Model. In: Arikawa, S., Furukawa, K. (eds) Discovery Science. DS 1999. Lecture Notes in Computer Science(), vol 1721. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46846-3_51

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  • DOI: https://doi.org/10.1007/3-540-46846-3_51

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66713-1

  • Online ISBN: 978-3-540-46846-2

  • eBook Packages: Springer Book Archive

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