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Membership-Degree Preserving Discriminant Analysis with Applications to Face Recognition
In pattern recognition, feature extraction techniques have been widely employed to reduce the dimensionality of high-dimensional data. In this paper, we propose a novel feature extraction algorithm called membership-degree preserving discriminant analysis (MPDA) based on the fisher criterion and fuz...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Hindawi Publishing Corporation
2013
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3814106/ https://ncbi.nlm.nih.gov/pubmed/24222783 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/275317 |
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