Null Space Locality Preserving Discriminant Intrinsicface

Turk M and Pentland A. Eigenfaces for recognition[J].Cognitive Neurosci.1991, 3(1):71-86[2]Belhumeur P N and Kriegman D J. Eigenfaces vs fisherfaces: recognition using class specific linear projection [J].IEEE Transactions on Pattern Analysis and Machine Intelligence.1997, 19:711-720[3]Tenenbaum J B, De Silva V, and Langford J C. A global geometric framework for nonlinear dimensionality reduction [J].Science.2000, 290:2319-2323[4]Rowies S and Saul L. Nonliear dimensionality reduction by locally linear embedding[J].Science.2000, 290:2323-2326[5]Belkin M and Niyogo P. Laplacian eigenmaps for dimensionality reduction and data representation[J].Neural Computation.2003, 15(6):1373-1396[6]He X, Niyogi P, and Han J. Face recognition using laplacianfaces[J].IEEE Transactions on Pattern Analysis and Machine Intelligence.2005, 27(3):328-340[8]Yang J, Zhang D, and Yang J Y, et al.. Globally maximizing, locally minimizing: unsupervised discriminant projection with application to face and palm biometrics[J].IEEE Transactions on Pattern Analysis and Machine Intelligence.2007, 29(4):650-664[11]Gao Quan-xue, Xu Hui, Li Yi-ying, and Xie De-yan. Two dimensional supervised local similarity and diversity projections[J].Pattern Recognition.2010, 43(10):3359-3363[12]Li Bo, Wang Chao, and Huang De-shuang. Supervised feature extraction based on orthogonal discriminant projection [J].Neurocomputing.2009, 73(1-3):191-196[14]Yang Li-ping, Gong Wei-guo, and Gu Xiao-hua, et al.. Null space discriminant locality preserving projections for face recognition[J].Neurocomputing.2008, 71(16-18):3644-3649[15]林玉娥, 顾国昌等. 适用于小样本问题的具有类内保持的正交特征提取算法[J]. 自动化学报. 2010, 36(5): 644-649.[16]Lin Yu-e and Gu Guo-chang, et al.. An Orthogonal feature extraction method based on the within-class preserving for small sample size problem[J].Acta Automatica Sinica.2010, 36(5):644-649[17]Xu Yong, Zhong Ai-ni, Yang Jian, and Zhang David. LPP solution schemes for use with face recognition[J].Pattern Recognition.2010, 43(12):4165-4176[19]Yang Li-ping, Gong Wei-guo, Gu Xiao-hua, Li Wei-hong, and Du Xing. Complete discriminant locality preserving projections for face recognition[J].Journal of Software.2010, 21(6):1277-1286[20]Hong Z Q and Yang J Y. Optimal discriminant plane for a small number of samples and design method of classifier on the plane [J].Pattern Recognition.1991, 24(4):317-324[21]Li H, Jiang T, and Zhang K. Efficient and robust feature extraction by maximum margin criterion[J].IEEE Transactions on Neural Networks.2006, 17(1):157-165[22]Tao Yu-ting and Yang Jian. Quotient vsdifference: comparison between the two discriminant criteria [J].. Neurocomputing.2010, 73(10-12):1808-1817[23]Yu Hua, Yang Jie. A direct LDA algorithm for high-dimensional data- with application to face recognition [J].Pattern Recognition.2001, 34(10):2067-2070