A linear discriminant analysis framework based on random subspace for face recognition

X Zhang, Y Jia - Pattern Recognition, 2007 - Elsevier
Linear discriminant analysis (LDA) often suffers from the small sample size problem when
dealing with high-dimensional face data. Random subspace can effectively solve this …
被引用次数：91 相关文章
[PDF] psu.edu

[PDF][PDF] A Linear Discriminant Analysis Framework Based on Random Subspace for Face Recognition

X Zhang, Y Jia - Citeseer
Abstract Linear Discriminant Analysis (LDA) often suffers from the small sample size
problem when dealing with high dimensional face data. Random subspace can effectively …

[引用][C] A linear discriminant analysis framework based on random subspace for face recognition

X ZHANG, Y JIA - Pattern recognition, 2007 - pascal-francis.inist.fr
A linear discriminant analysis framework based on random subspace for face recognition
CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search …

A linear discriminant analysis framework based on random subspace for face recognition

X Zhang, Y Jia - Pattern Recognition, 2007 - ui.adsabs.harvard.edu
Linear discriminant analysis (LDA) often suffers from the small sample size problem when
dealing with high-dimensional face data. Random subspace can effectively solve this …

A linear discriminant analysis framework based on random subspace for face recognition

X Zhang, Y Jia - Pattern Recognition, 2007 - infona.pl
Linear discriminant analysis (LDA) often suffers from the small sample size problem when
dealing with high-dimensional face data. Random subspace can effectively solve this …
[PDF] bham.ac.uk

[PDF][PDF] A Linear Discriminant Analysis Framework Based on Random Subspace for Face Recognition

X Zhang, Y Jia - cs.bham.ac.uk
Abstract Linear Discriminant Analysis (LDA) often suffers from the small sample size
problem when dealing with high dimensional face data. Random subspace can effectively …

A linear discriminant analysis framework based on random subspace for face recognition

X Zhang, Y Jia - Pattern Recognition, 2007 - dl.acm.org
Linear discriminant analysis (LDA) often suffers from the small sample size problem when
dealing with high-dimensional face data. Random subspace can effectively solve this …

[引用][C] A linear discriminant analysis framework based on random subspace for face recognition

X ZHANG, Y JIA - Pattern recognition, 2007 - Elsevier