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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Detalles Bibliográficos
Autores principales: Yang, Zhangjing, Liu, Chuancai, Huang, Pu, Qian, Jianjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814106/
https://www.ncbi.nlm.nih.gov/pubmed/24222783
http://dx.doi.org/10.1155/2013/275317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814106/
https://www.ncbi.nlm.nih.gov/pubmed/24222783
http://dx.doi.org/10.1155/2013/275317

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