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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Detalles Bibliográficos
Autores principales: Rujirakul, Kanokmon, So-In, Chakchai, Arnonkijpanich, Banchar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
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

Internet

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

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