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A Comparative Study of ICA Filter Structures Learnt from Natural and Urban Images

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Bio-Inspired Applications of Connectionism (IWANN 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2085))

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Abstract

The Neural-JADE and various other ICA algorithms are applied to natural and urban image ensembles to learn appropriate filter structures. The latter are shown to be represented quantitatively by Gabor and Haar wavelets in case of natural and urban image stimuli, respectively. A quantitative comparison concerning various filter characteristics demonstrates the influence of various score functions upon the resulting filter structures. Quantitative comparison will be made also with neurophysiological characteristics of these structures.

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Author information

Authors and Affiliations

  1. Institute of Biophysics, University of Regensburg, 93040, Regensburg, Germany

    Ch. Ziegaus⋆ & E. W. Lang

Authors
  1. Ch. Ziegaus⋆
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  2. E. W. Lang
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Nacional de EducaciĂłn a Distancia, Senda del Rey, s/n., 28040, Madrid, Spain

    José Mira

  2. Departamento de Arquitectura y TecnologĂ­a de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Ziegaus⋆, C., Lang, E.W. (2001). A Comparative Study of ICA Filter Structures Learnt from Natural and Urban Images. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_35

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  • DOI: https://doi.org/10.1007/3-540-45723-2_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42237-2

  • Online ISBN: 978-3-540-45723-7

  • eBook Packages: Springer Book Archive

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