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Face Recognition by Independent Component Analysis
A number of current face recognition algorithms use face representations found by unsupervised statistical methods. Typically these methods find a set of basis images and represent faces as a linear combination of those images. Principal component analysis (PCA) is a popular example of such methods....
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2002
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2898524/ https://ncbi.nlm.nih.gov/pubmed/18244540 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNN.2002.804287 |
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