Deutsch
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 upon the resulting filter structures. Quantitative comparison will be made also with neurophysiological characteristics of these structures.
| Item Type: | Book Section | ||||
|---|---|---|---|---|---|
| Institutions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang | ||||
| Related URLs: |
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| 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 08:14 | ||||
| Last Modified: | 28 Sep 2010 08:14 | ||||
| Item ID: | 16853 |
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