Referenced Items are not available for this document.
We introduce a very fast method for estimating over-complete bases of independent components from image data. This is based on the concept of quasi-orthogonality, which means that in a very high-dimensional space, there can be a large, over-complete set of vectors that are almost orthogonal to each other. Thus we may estimate an over-complete basis by using one-unit ICA algorithms and forcing only partial decorrelation between the different independent components. The method can be implemented using a modification of the FastICA algorithm, which leads to a computationally highly efficient method
Published in:
Neural Networks, 1999. IJCNN '99. International Joint Conference on
(Volume:2
)
Date of Conference: Jul 1999
- Page(s):
- 894 - 899 vol.2
- Meeting Date :
- 10 Jul 1999-16 Jul 1999
- ISSN :
- 1098-7576
- Print ISBN:
- 0-7803-5529-6
- INSPEC Accession Number:
- 6577167
- Conference Location :
- Washington, DC
- Digital Object Identifier :
- 10.1109/IJCNN.1999.831071
- Product Type:
- Conference Publications
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