Independent Component Analysis
GPTKB entity
Statements (37)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:signal_processing
statistical analysis |
| gptkbp:abbreviation |
gptkb:ICA
|
| gptkbp:application |
neuroscience
image processing financial data analysis audio signal separation |
| gptkbp:assumes |
statistical independence of components
|
| gptkbp:book |
Independent Component Analysis by Hyvärinen, Karhunen, and Oja
|
| gptkbp:field |
gptkb:machine_learning
gptkb:signal_processing statistics |
| gptkbp:form |
kurtosis
non-Gaussianity mutual information minimization |
| https://www.w3.org/2000/01/rdf-schema#label |
Independent Component Analysis
|
| gptkbp:input |
observed mixtures
|
| gptkbp:introduced |
gptkb:Erkki_Oja
Aapo Hyvärinen |
| gptkbp:introducedIn |
1990s
|
| gptkbp:limitation |
scaling and permutation indeterminacy
|
| gptkbp:output |
independent components
|
| gptkbp:purpose |
separate a multivariate signal into additive independent components
|
| gptkbp:relatedTo |
gptkb:Factor_Analysis
Principal Component Analysis blind source separation |
| gptkbp:supportsAlgorithm |
gptkb:JADE
FastICA Infomax |
| gptkbp:usedIn |
telecommunications
data mining speech separation EEG analysis fMRI analysis |
| gptkbp:bfsParent |
gptkb:Unsupervised_Learning
gptkb:Erkki_Oja |
| gptkbp:bfsLayer |
7
|