Computer Science ›› 2015, Vol. 42 ›› Issue (5): 309-314.doi: 10.11896/j.issn.1002-137X.2015.05.063
Previous Articles Next Articles
ZHANG Qi-wen and ZHUANG Xin-lei
[1] Turk M,Pentland A.Eigenfaces for recognition[J].Journal of cognitive neuroscience,1991,3(1):71-86 [2] Belhumeur P N,Hespanha J P,Kriegman D.Eigenfaces vs.fisherfaces:Recognition using class specific linear projection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1997,19(7):711-720 [3] Tenenbaum J B,Desilva V,Langford J C.A global geometricframework for nonlinear dimensionality reduction[J].Science,2000,290(5500):2319-2323 [4] Roweis S T,Saul L K.Nonlinear dimensionality reduction by locally linear embedding[J].Science,2000,290(5500):2323-2326 [5] Belkin M,Niyogi P.Laplacian eigenmaps for dimensionality re-duction and data representation[J].Neural computation,2003,15(6):1373-1396 [6] He Xiao-fei,Yan Shui-cheng,Hu Yu-xiao,et al.Face Recogni-tion Using Laplacianfaces[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(3):328-340 [7] He Xiao-fei,Cai Deng,Yan Shui-cheng,et al.Neighborhood preserving embedding[C]∥Proceedings of the Tenth IEEE International Conference on Computer Vision.Beijing,China:IEEE Computer Society,2005 [8] Wright J,Yang A Y,Ganesh A,et al.Robust face recognitionvia sparse representation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,31(2):210-227 [9] Cheng Bin,Yang Jian-chao,Yan Shui-cheng,et al.Learning with l1-graph for image analysis[J].IEEE transactions on image processing:a publication of the IEEE Signal Processing Society,2010,19(4):858-866 [10] 郑浩,金忠.一种有监督的稀疏保持近邻嵌入算法[J].计算机工程,2011,7(16):155-157 [11] Qiao Li-shan,Chen Song-can,Tan Xiao-yang.Sparsity preserving projections with applications to face recognition[J].Pattern Recognition,2010,43(1):331-341 [12] 相文楠,赵建立.监督型稀疏保持投影[J].计算机工程与应用,2011,7(29):186-188 [13] 楼宋江,赵小明,张石清.一种局部稀疏判别投影算法[J].光电子·激光,2013,4(7):1406-1409 [14] Zhang Lei,Yang Meng,Feng Xiang-chu.Sparse representation or collaborative representation:Which helps face recognition?[C]∥Proceedings of the 2011 International Conference on Computer Vision.Barcelona,Spain:IEEE Computer Society,2011:471-478 [15] Zhang Lei,Yang Meng,Feng Xiang-chu,et al.Collaborative representation based classification for face recognition[J].arXiv preprint arXiv:1204.2358,2012 [16] Lu Gui-fu,Lin Zhong,Jin Zhong.Face recognition using discriminant locality preserving projection based on maximum margin criterion[J].Pattern Recognition,2010,43(12):3572-3579 [17] Phillips P J,Hyeonjoon M,Rizvi S A,et al.The FERET evaluation methodology for face recognition algorithms[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(10):1090-1104 [18] Martinez A M,Benavente R.The AR face database[R].CVCTechnical Report,1998 [19] Georghiades A S,Belhumeur P N,Kriegman D.From few to many:Illumination cone models for face recognition under variable lighting and pose[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2001,23(6):643-660 [20] Lee K C,Ho J,Kriegman D.Acquiring linear subspaces for face recognition under variable lighting[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(5):684-498 [21] Huang Jun-zhou,Huang Xiao-lei,METAXAS D.Simultaneous image transformation and sparse representation recovery[C]∥Proc.of the 2008 IEEE Conference on Computer Vision and Pattern Recognition.Anchorage,AK:IEEE Computer Society,2008:2323-2330 |
No related articles found! |
|