Semisupervised Kernel Marginal Fisher Analysis for Face Recognition

Dimensionality reduction is a key problem in face recognition due to the high-dimensionality of face image. To effectively cope with this problem, a novel dimensionality reduction algorithm called semisupervised kernel marginal Fisher analysis (SKMFA) for face recognition is proposed in this paper....

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Detalles Bibliográficos
Autores principales: Wang, Ziqiang, Sun, Xia, Sun, Lijun, Huang, Yuchun
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/PMC3791838/
https://www.ncbi.nlm.nih.gov/pubmed/24163638
http://dx.doi.org/10.1155/2013/981840

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791838/
https://www.ncbi.nlm.nih.gov/pubmed/24163638
http://dx.doi.org/10.1155/2013/981840

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