{What is the relation between slow feature analysis and independent component analysis?}
| Type of publication: | Article |
| Citation: | Blaschke2006 |
| Journal: | Neural computation |
| Volume: | 18 |
| Number: | 10 |
| Year: | 2006 |
| Month: | October |
| Pages: | 2495--508 |
| ISSN: | 0899-7667 |
| URL: | http://www.ncbi.nlm.nih.gov/pu... |
| DOI: | 10.1162/neco.2006.18.10.2495 |
| Abstract: | We present an analytical comparison between linear slow feature analysis and second-order independent component analysis, and show that in the case of one time delay, the two approaches are equivalent. We also consider the case of several time delays and discuss two possible extensions of slow feature analysis. |
| Userfields: | bdsk-url-1={http://www.ncbi.nlm.nih.gov/pubmed/16907634}, bdsk-url-2={http://dx.doi.org/10.1162/neco.2006.18.10.2495}, date-added={2012-09-23 10:50:23 +0200}, date-modified={2012-09-23 10:50:23 +0200}, file={:home/jim/Desktop/sortedLiterature/sfa+invariances/What is the Relation Between Slow Feature Analysis and Independent Component Analysis?.pdf:pdf}, pmid={16907634}, project={fremdliteratur}, |
| Keywords: | Algorithms, Computer-Assisted, Data Interpretation, Linear Models, Principal Component Analysis, Signal Processing, Statistical, Time Factors |
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