- 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...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1016/S0031-3203(03)00002-5
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- 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
- Language:
- English
- Keywords:
- Copyright date:
- 2003
Journal article
Data decomposition using independent component analysis with prior constraints
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