Efficient linear discriminant analysis with locality preserving for face recognition

X Shu, Y Gao, H Lu - Pattern recognition, 2012 - Elsevier
Linear discriminant analysis (LDA) is one of the most popular techniques for extracting
features in face recognition. LDA captures the global geometric structure. However, local …
被引用次数：64 相关文章

[引用][C] Efficient linear discriminant analysis with locality preserving for face recognition

XIN SHU, YAO GAO, H LU - Pattern recognition, 2012 - pascal-francis.inist.fr
Efficient linear discriminant analysis with locality preserving for face recognition CNRS Inist
Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search Advanced …

Efficient linear discriminant analysis with locality preserving for face recognition

X Shu, Y Gao, H Lu - Pattern Recognition, 2012 - infona.pl
Linear discriminant analysis (LDA) is one of the most popular techniques for extracting
features in face recognition. LDA captures the global geometric structure. However, local …

Efficient linear discriminant analysis with locality preserving for face recognition

X Shu, Y Gao, H Lu - Pattern Recognition, 2012 - dl.acm.org
Linear discriminant analysis (LDA) is one of the most popular techniques for extracting
features in face recognition. LDA captures the global geometric structure. However, local …

Efficient linear discriminant analysis with locality preserving for face recognition

X Shu, Y Gao, H Lu - Pattern Recognition, 2012 - ui.adsabs.harvard.edu
Linear discriminant analysis (LDA) is one of the most popular techniques for extracting
features in face recognition. LDA captures the global geometric structure. However, local …

[引用][C] Efficient linear discriminant analysis with locality preserving for face recognition

XIN SHU, YAO GAO, H LU - Pattern recognition, 2012 - Elsevier