Optics and Precision Engineering, Volume. 16, Issue 8, 1465(2008)
Random sampling subspace locality preserving projection for face recognition
[1] [1] ZHAO W,CHELLAPPA R,ROSENFELD A,et al..Face recognition:a literature survey[R].Technical Report CAR-TR-948,University of Maryland,College Park,2000
[2] [2] TURK M,PENTLAND A.Face recognition using eigenfaces[C].Proceedings of IEEE CVPR,Havaii,1991:586-591
[4] [4] BELHUMEUR P,HESPANDA J,KIREGEMAN D.Eigenfaces vs.fisherfaces:recognition using class specific linear projection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1997,19(7):711-720
[5] [5] SCHOLKOPF B,SMOLA A,MULLER K.Nonlinear component analysis as a kernel eigenvalue problem[J].Neural Computation,1998,10(5):1299-1319
[6] [6] KIM K.FRANZ M,SCHOLKOPF B.Iterative kernel principal component analysis for image modeling[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27:1352-1366
[7] [7] BAUDAT G,ANOUAR F.Generalized discriminant analysis using a kernel approach[J].Neural Computation,2000,12:2385-2404
[9] [9] Yu H,YANG J.A direct LDA algorithm for high-dimensional data-with application to face recognition[J].Pattern Recognition,2001,34:2067-2070
[10] [10] YE J,LI Q.A two-stage linear discriminant analysis via QR-decomposition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(6):929-941
[11] [11] CHEN L,MARK L H,KO M,et al..A new LDA-based face recognition system which can solve the small sample size problem[J].Pattern Recognition,2000,33:1713-1726
[12] [12] YANG M.Face recognition using extended isomap[C].Proceedings of Conference on Image Processing,2002:117-120
[13] [13] HE X,NIYOGI P.Locality preserving projections[C].Proceedings of Conf.Advances in Neural Information Processing System,2003
[14] [14] HE X,CAI D,YAN S,et al..Neighborhood preserving embedding[C].Proceedings of Tenth IEEE International Conf.on Computer Vision,2005:1208-1213
[15] [15] CHEN H,CHANG H,LIU T.Local discriminant embedding and its variants[C].Proceedings of IEEE Computer Society Conf.on Computer Vision and Pattern Recognition,2005:846-853
[16] [16] YANG J,ZHANG D,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
[17] [17] YU W W,TENG X L,LIU C Q.Face recognition using discriminant locality preserving projections[J].Image and Vision Computing,2006,24:239-248
[18] [18] CAI D,HE X,ZHOU K,et al..Locality sensitive discriminant analysis[C].Proceedings of International Confefence on Artificial Intelligence,2007
[19] [19] WANG X G,TANG X O.Random sampling for subspace face recognition[J].International J.Computer Vision,2006,70(1):91-104
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YANG Li-ping, GONG Wei-guo, LI Wei-hong, GU Xiao-hua. Random sampling subspace locality preserving projection for face recognition[J]. Optics and Precision Engineering, 2008, 16(8): 1465
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Received: Nov. 20, 2007
Accepted: --
Published Online: Feb. 28, 2010
The Author Email: Li-ping YANG (yanglp@cqu.edu.cn)
CSTR:32186.14.