Optimal subset-division based discrimination and its kernelization for face and palmprint recognition

X Jing, S Li, D Zhang, C Lan, J Yang - Pattern Recognition, 2012 - Elsevier
Discriminant analysis is effective in extracting discriminative features and reducing
dimensionality. In this paper, we propose an optimal subset-division based discrimination …
被引用次数：27 相关文章

Optimal subset-division based discrimination and its kernelization for face and palmprint recognition

X Jing, S Li, D Zhang, C Lan, J Yang - Pattern Recognition, 2012 - dl.acm.org
Discriminant analysis is effective in extracting discriminative features and reducing
dimensionality. In this paper, we propose an optimal subset-division based discrimination …

Optimal subset-division based discrimination and its kernelization for face and palmprint recognition

X Jing, S Li, D Zhang, C Lan, J Yang - Pattern Recognition, 2012 - infona.pl
Discriminant analysis is effective in extracting discriminative features and reducing
dimensionality. In this paper, we propose an optimal subset-division based discrimination …

[引用][C] Optimal subset-division based discrimination and its kernelization for face and palmprint recognition

X JING, S LI, D ZHANG, J YANG - Pattern recognition, 2012 - pascal-francis.inist.fr
Optimal subset-division based discrimination and its kernelization for face and palmprint
recognition CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases …

Optimal subset-division based discrimination and its kernelization for face and palmprint recognition

X Jing, S Li, D Zhang, C Lan, J Yang - Pattern Recognition, 2012 - research.polyu.edu.hk
Discriminant analysis is effective in extracting discriminative features and reducing
dimensionality. In this paper, we propose an optimal subset-division based discrimination …

Optimal subset-division based discrimination and its kernelization for face and palmprint recognition

X Jing, S Li, D Zhang, C Lan, J Yang - Pattern Recognition, 2012 - ui.adsabs.harvard.edu
Discriminant analysis is effective in extracting discriminative features and reducing
dimensionality. In this paper, we propose an optimal subset-division based discrimination …

[引用][C] Optimal subset-division based discrimination and its kernelization for face and palmprint recognition

X JING, S LI, D ZHANG, J YANG - Pattern recognition, 2012 - Elsevier