Subspace independent component analysis using vector kurtosis
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| Title | Subspace independent component analysis using vector kurtosis |
|---|---|
| Author | Sharma, Alokanand; Paliwal, Kuldip Kumar |
| Journal Name | Pattern Recognition |
| Year Published | 2006 |
| Place of publication | United Kingdom |
| Publisher | Pergamon |
| Abstract | This discussion presents a new perspective of subspace independent component analysis (ICA). The notion of a function of cumulants (kurtosis) is generalized to vector kurtosis. This vector kurtosis is utilized in the subspace ICA algorithm to estimate subspace independent components. One of the main advantages of the presented approach is its computational simplicity. The experiments have shown promising results in estimating subspace independent components. |
| Peer Reviewed | Yes |
| Published | Yes |
| Publisher URI | http://www.elsevier.com/wps/find/journaldescription.cws_home/328/description#description |
| Alternative URI | http://dx.doi.org/10.1016/j.patcog.2006.04.021 |
| Volume | 39 |
| Page from | 2227 |
| Page to | 2232 |
| ISSN | 0031-3203 |
| Date Accessioned | 2007-03-18 |
| Date Available | 2009-09-21T05:48:34Z |
| Language | en_AU |
| Research Centre | Institute for Integrated and Intelligent Systems |
| Faculty | Faculty of Science, Environment, Engineering and Technology |
| Subject | PRE2009-Pattern Recognition |
| URI | http://hdl.handle.net/10072/14346 |
| Publication Type | Journal Articles (Refereed Article) |
| Publication Type Code | c1 |
Please use this identifier to cite this record: http://hdl.handle.net/10072/14346
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