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Framework of Constrained Matrix Gradient Flows

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Independent Component Analysis and Blind Signal Separation (ICA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3195))

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Abstract

The paper presents general formulas of constrained matrix gradient flows which can be used to derive algorithms for specific problems appeared in the aspects of ICA including joint diagonalization and joint SVD problems. Some previous and novel examples of constrained matrix gradient flows are derived using the general formulas.

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References

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Author information

Authors and Affiliations

  1. Brain Science Institute, RIKEN, Saitama, 351-0198, Japan

    Gen Hori

Authors
  1. Gen Hori
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Editor information

Editors and Affiliations

  1. Dept. of Architecture and Computer Technology, University of Granada, Spain

    Carlos G. Puntonet  & Alberto Prieto  & 

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© 2004 Springer-Verlag Berlin Heidelberg

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Hori, G. (2004). Framework of Constrained Matrix Gradient Flows. In: Puntonet, C.G., Prieto, A. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2004. Lecture Notes in Computer Science, vol 3195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30110-3_19

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  • DOI: https://doi.org/10.1007/978-3-540-30110-3_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23056-4

  • Online ISBN: 978-3-540-30110-3

  • eBook Packages: Springer Book Archive

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