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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032760/ https://www.ncbi.nlm.nih.gov/pubmed/24955405 http://dx.doi.org/10.1155/2014/468176 |