Unified formulation of linear discriminant analysis methods and optimal parameter selection

S An, W Liu, S Venkatesh, H Yan - Pattern recognition, 2011 - Elsevier
In the last decade, many variants of classical linear discriminant analysis (LDA) have been
developed to tackle the under-sampled problem in face recognition. However, choosing the …
被引用次数：10 相关文章

Unified formulation of linear discriminant analysis methods and optimal parameter selection

S An, W Liu, S Venkatesh, H Yan - Pattern Recognition, 2011 - infona.pl
In the last decade, many variants of classical linear discriminant analysis (LDA) have been
developed to tackle the under-sampled problem in face recognition. However, choosing the …

Unified formulation of linear discriminant analysis methods and optimal parameter selection

S An, W Liu, S Venkatesh, H Yan - Pattern Recognition, 2011 - scholars.cityu.edu.hk
In the last decade, many variants of classical linear discriminant analysis (LDA) have been
developed to tackle the under-sampled problem in face recognition. However, choosing the …

[引用][C] Unified formulation of linear discriminant analysis methods and optimal parameter selection

S An, W Liu, S Venkatesh… - Pattern …, 2011 - research-repository.uwa.edu.au
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[引用][C] Unified formulation of linear discriminant analysis methods and optimal parameter selection

S An, W Liu, S Venkatesh, H Yan - 2011 - dro.deakin.edu.au

Unified formulation of linear discriminant analysis methods and optimal parameter selection

S An, W Liu, S Venkatesh, H Yan - Pattern Recognition, 2011 - dl.acm.org
In the last decade, many variants of classical linear discriminant analysis (LDA) have been
developed to tackle the under-sampled problem in face recognition. However, choosing the …

Unified formulation of linear discriminant analysis methods and optimal parameter selection

S An, W Liu, S Venkatesh, H Yan - Pattern Recognition, 2011 - ui.adsabs.harvard.edu
In the last decade, many variants of classical linear discriminant analysis (LDA) have been
developed to tackle the under-sampled problem in face recognition. However, choosing the …

Unified formulation of linear discriminant analysis methods and optimal parameter selection

S An, WQ Liu, S Venkatesh, Y Hong - Pattern Recognition, 2011 - espace.curtin.edu.au
In the last decade, many variants of classical linear discriminant analysis (LDA) have been
developed to tackle the under-sampled problem in face recognition. However, choosing the …

[引用][C] Unified formulation of linear discriminant analysis methods and optimal parameter selection

S AN, W LIU, S VENKATESH, H YAN - Pattern recognition, 2011 - pascal-francis.inist.fr
Unified formulation of linear discriminant analysis methods and optimal parameter selection
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[引用][C] Unified formulation of linear discriminant analysis methods and optimal parameter selection

S An, W Liu, S Venkatesh, H Yan - 2011 - dro.deakin.edu.au