[BibTeX] [RIS]
{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
Authors Blaschke, Tobias
Berkes, Pietro
Wiskott, Laurenz
  • http://www.ncbi.nlm.nih.gov/pu...
  • http://dx.doi.org/10.1162/neco...