Face recognition using nonlinear locality preserving with deep networks

2015 ◽  
Author(s):  
Ying Wang ◽  
Peng Fei ◽  
Xin Fan ◽  
Haojie Li
Keyword(s):  
Face Recognition ◽  
Locality Preserving ◽  
Deep Networks

Complete Discriminant Locality Preserving Projections for Face Recognition

2010 ◽  
Vol 21 (6) ◽  
pp. 1277-1286 ◽  
Author(s):  
Li-Ping YANG ◽  
Wei-Guo GONG ◽  
Xiao-Hua GU ◽  
Wei-Hong LI ◽  
Xing DU
Keyword(s):  
Face Recognition ◽  
Locality Preserving Projections ◽  
Locality Preserving

scholarly journals An Improved Metric Learning Approach for Degraded Face Recognition

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Guofeng Zou ◽  
Yuanyuan Zhang ◽  
Kejun Wang ◽  
Shuming Jiang ◽  
Huisong Wan ◽  
...  
Keyword(s):  
Face Recognition ◽  
Metric Learning ◽  
Computing Time ◽  
Feature Space ◽  
Projection Algorithm ◽  
Learning Approach ◽  
Learning Method ◽  
Matching Problem ◽  
Locality Preserving Projection ◽  
Locality Preserving

To solve the matching problem of the elements in different data collections, an improved coupled metric learning approach is proposed. First, we improved the supervised locality preserving projection algorithm and added the within-class and between-class information of the improved algorithm to coupled metric learning, so a novel coupled metric learning method is proposed. Furthermore, we extended this algorithm to nonlinear space, and the kernel coupled metric learning method based on supervised locality preserving projection is proposed. In kernel coupled metric learning approach, two elements of different collections are mapped to the unified high dimensional feature space by kernel function, and then generalized metric learning is performed in this space. Experiments based on Yale and CAS-PEAL-R1 face databases demonstrate that the proposed kernel coupled approach performs better in low-resolution and fuzzy face recognition and can reduce the computing time; it is an effective metric method.

Bagging null space locality preserving discriminant classifiers for face recognition

2009 ◽  
Vol 42 (9) ◽  
pp. 1853-1858 ◽  
Author(s):  
Liping Yang ◽  
Weiguo Gong ◽  
Xiaohua Gu ◽  
Weihong Li ◽  
Yanfei Liu
Keyword(s):  
Face Recognition ◽  
Null Space ◽  
Locality Preserving

Locality Preserving Collaborative Representation for Face Recognition

2016 ◽  
Vol 45 (3) ◽  
pp. 967-979 ◽  
Author(s):  
Taisong Jin ◽  
Zhiling Liu ◽  
Zhengtao Yu ◽  
Xiaoping Min ◽  
Lingling Li
Keyword(s):  
Face Recognition ◽  
Collaborative Representation ◽  
Locality Preserving
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