Face recognition using enhanced linear discriminant analysis
H Hu, P Zhang, F De la Torre - IET computer vision, 2010 - IET
There are two fundamental problems with the linear discriminant analysis (LDA) for face
recognition. First one is LDA is not stable because of the small training sample size problem …
recognition. First one is LDA is not stable because of the small training sample size problem …
Face recognition using enhanced linear discriminant analysis
H Hu, P Zhang, F De la Torre - IET Computer Vision, 2010 - search.proquest.com
There are two fundamental problems with the linear discriminant analysis (LDA) for face
recognition. First one is LDA is not stable because of the small training sample size problem …
recognition. First one is LDA is not stable because of the small training sample size problem …
Face recognition using enhanced linear discriminant analysis
H Hu, P Zhang, F De la Torre - IET Computer Vision, 2010 - infona.pl
There are two fundamental problems with the linear discriminant analysis (LDA) for face
recognition. First one is LDA is not stable because of the small training sample size problem …
recognition. First one is LDA is not stable because of the small training sample size problem …
[引用][C] Face recognition using enhanced linear discriminant analysis
H HU, P ZHANG… - IET computer vision (Print), 2010 - pascal-francis.inist.fr
Face recognition using enhanced linear discriminant analysis CNRS Inist Pascal-Francis
CNRS Pascal and Francis Bibliographic Databases Simple search Advanced search Search …
CNRS Pascal and Francis Bibliographic Databases Simple search Advanced search Search …