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

Ziegaus, Christian and Lang, Elmar (2001) A Comparative Study of ICA Filter Structures Learnt from Natural and Urban Images. In: Bio-Inspired Applications of Connectionism. 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Granada, Spain, June 13–15, 2001. Proceedings, Part II. Lecture notes in computer science, 2085. Springer, Berlin, pp. 295-302. ISBN 3-540-42237-4 (print und e-book).

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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 ...

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Item Type:Book Section
Date:2001
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Related URLs:
URLURL Type
http://www.springerlink.com/content/nwmphdd2qxyxt1xv/Publisher
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner: Gertraud Kellers
Deposited On:28 Sep 2010 06:14
Last Modified:28 Sep 2010 06:14
Item ID:16853
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