Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics

M Wan, Z Lai, J Shao, Z Jin - Neurocomputing, 2009 - Elsevier
This paper proposes a novel method, called two-dimensional local graph embedding
discriminant analysis (2DLGEDA), for image feature extraction, which can directly extract the …

Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics

M Wan, Z Lai, J Shao, Z Jin - Neurocomputing, 2009 - infona.pl
This paper proposes a novel method, called two-dimensional local graph embedding
discriminant analysis (2DLGEDA), for image feature extraction, which can directly extract the …

Two-Dimensional Local Graph Embedding Discriminant Analysis (F2DLGEDA) with Its Application to Face and Palm Biometrics

M Wan, Z Lou, Z Liu, Z Jin - 2009 Chinese Conference on …, 2009 - ieeexplore.ieee.org
In two-dimensional local graph embedding discriminant analysis (2DLGEDA), the intrinsic
graph characterizes the intraclass compactness and connects each data point with its …

Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics.

M Wan, Z Lai, J Shao, Z Jin - Neurocomputing: An International …, 2009 - psycnet.apa.org
This paper proposes a novel method, called two-dimensional local graph embedding
discriminant analysis (2DLGEDA), for image feature extraction, which can directly extract the …

Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics

M Wan, Z Lai, J Shao, Z Jin - Neurocomputing, 2009 - dl.acm.org
This paper proposes a novel method, called two-dimensional local graph embedding
discriminant analysis (2DLGEDA), for image feature extraction, which can directly extract the …

Two-Dimensional Local Graph Embedding Discriminant Analysis (F2DLGEDA) with Its Application to Face and Palm Biometrics

M Wan, Z Lou, Z Liu, Z Jin - 2009 Chinese Conference on Pattern Recognition - infona.pl
In two-dimensional local graph embedding discriminant analysis (2DLGEDA), the intrinsic
graph characterizes the intraclass compactness and connects each data point with its …