Journal article
Data decomposition using independent component analysis with prior constraints
- Abstract:
-
In many data analysis problems, it is useful to consider the data as generated from a set of unknown (latent) generators or sources. The observations we make of a system are then taken to be related to these sources through some unknown function. Furthermore, the (unknown) number of underlying latent sources may be less than the number of observations. Recent developments in independent component analysis (ICA) have shown that, in the case where the unknown function linking sources to observa...
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- Publication status:
- Published
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- Publisher copy:
- 10.1016/S0031-3203(03)00002-5
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Authors
Bibliographic Details
- Journal:
- PATTERN RECOGNITION
- Volume:
- 36
- Issue:
- 8
- Pages:
- 1813-1825
- Publication date:
- 2003-08-05
- DOI:
- ISSN:
-
0031-3203
- URN:
-
uuid:88aa695f-105d-4374-bbb5-17b6ddf3fe52
- Source identifiers:
-
318917
- Local pid:
- pubs:318917
Item Description
- Language:
- English
- Keywords:
Terms of use
- Copyright date:
- 2003
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