PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture
Principal component analysis or PCA has been traditionally used as one of the feature extraction techniques in face recognition systems yielding high accuracy when requiring a small number of features. However, the covariance matrix and eigenvalue decomposition stages cause high computational comple...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Wiley
2014-01-01
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| Col·lecció: | The Scientific World Journal |
| Accés en línia: | http://dx.doi.org/10.1155/2014/468176 |
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