Recursive locality preserving projection for feature extraction (original) (raw)

• Belhumeur PN, Hespanha JP, Kriegman DJ (1997) Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19(7):711–720
  Article Google Scholar
• Belkin M, Niyogi P (2003) Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput 15(6):1373–1396
  Article MATH Google Scholar
• Cai D, He X, Han J, Zhang HJ (2006) Orthogonal laplacianfaces for face recognition. IEEE Trans Image Process 15(11):3608–3614
  Article Google Scholar
• Cover TM, Hart PE (1967) Nearest neighbor pattern classification. IEEE Trans Inform Theory 13(1):21–27
  Article MATH Google Scholar
• Duda RO, Hart PE, Stork DG (2001) Pattern classification, 2nd edn. Wiley, New York
  MATH Google Scholar
• Foley DH, Sammon JW Jr (1975) An optimal set of discriminant vectors. IEEE Trans Comput 24(3):281–289
  Article MATH Google Scholar
• Guo J, Qi L, Li Y (2015) Fault detection of batch process using dynamic multi-way orthogonal locality preserving projections. J Comput Inf Syst 11(2):577–586
  Google Scholar
• He X, Niyogi P (2003) Locality preserving projections. in NIPS
• He X, Yan S, Hu Y, Niyogi P, Zhang H (2005) Face recognition using laplacianfaces. IEEE Trans Pattern Anal Mach Intell 27(3):328–340
  Article Google Scholar
• Jin Z, Yang JY, Hu ZS, Lou Z (2001a) Face recognition based on the uncorrelated discriminant transformation. Pattern Recognit 34(7):1405–1416
• Jin Z, Yang JY, Tang ZM, Hu ZS (2001b) A theorem on the uncorrelated optimal discriminant vectors. Pattern Recognit 34(10):2041–2047
• Jing XY, Zhang D, Jin Z (2003) Improvements on the uncorrelated optimal discriminant vectors. Pattern Recognit 36(8):1921–1923
  Article MATH Google Scholar
• Landgrebe DA (2003) Signal theory methods in multispectral remote sensing. Wiley, Chichester
  Book Google Scholar
• Liang Z, Shi P (2005) Uncorrelated discriminant vectors using a kernel method. Pattern Recognit 38(2):307–310
  Article MATH Google Scholar
• Liang Y, Gong W, Pan Y, Li W (2005) Face recognition using uncorrelated, weighted linear discriminant analysis. Pattern recognition and image analysis. Springer, Berlin
  Google Scholar
• Li F, Wang J, Tang B, Tian D (2014) Life grade recognition method based on supervised uncorrelated orthogonal locality preserving projection and K-nearest neighbor classifier. Neurocomputing 138:271–282
  Article Google Scholar
• Martinez AM, Benavente R (1998) The AR face database. CVC technical report #24, June
• Martinez AM, Benavente R (2006) The AR face database. http://rvl1.ecn.purdue.edu/aleix/~aleix_face_DB.html
• Murphy PM, Aha DW (1994) UCI repository of machine learning databases. technical report, Department of Information and Computer Science, University of California, Irvine, Calif
• Nie F, Xiang S, Liu Y, Hou C, Zhang C (2012) Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction. Pattern Recognit Lett 33(5):485–491
  Article Google Scholar
• Tang B, Li F, Qin Y (2011) Fault diagnosis model based on feature compression with orthogonal locality preserving projection. Chin J Mech Eng 24(5):891–898
  Article Google Scholar
• Wong WK, Zhao HT (2012) Supervised optimal locality preserving projection. Pattern Recognit 45(1):186–197
  Article MATH Google Scholar
• Xiang C, Fan XA, Lee TH (2006) Face recognition using recursive fisher linear discriminant. IEEE Trans Image Process 15(8):2097–2105
  Article Google Scholar
• Xu Y, Yang JY, Jin Z (2003) Theory analysis on FSLDA and ULDA. Pattern Recognit 36(12):3031–3033
  Article MATH Google Scholar
• Yang J, Yang JY, Frangi AF, Zhang D (2003) Uncorrelated projection discriminant analysis and its application to face image feature extraction. Int J Patt Recogn Artif Intell 17(8):1325–1347
  Article Google Scholar
• Yen S, Wu CM, Wang H (2012) A block-based orthogonal locality preserving projection method for face super-resolution. Intell Inf Datab Syst, Springer, Berlin Heidelberg, pp 253–262
• Yu YL, Zhang LM (2008) Orthogonal MFA and uncorrelated MFA. Pattern Recognit Artif Intell 21(5):603–608 (in Chinese)
  Google Scholar
• Zhang X, Chu D (2013) Sparse uncorrelated linear discriminant analysis. In: Proceedings of the 30th international conference on machine learning (ICML-13), pp 45–52
• Zhao H, Sun S (2010) Optimal locality preserving projection. Image Processing (ICIP), 2010 17th IEEE international conference on. IEEE, pp 1861–1864
• Zhao HT, Yuen PC, Yang JY (2005) Optimal subspace analysis for face recognition. Int J Pattern Recogn Artif Intell 19(3):375–393
  Article Google Scholar
• Zhao H, Sun S, Jing Z (2006) Local information based uncorrelated feature extraction. Opt Eng 45(2):020505
  Article Google Scholar
• Zheng WM, Zhao L, Zou CR (2004) An efficient algorithm to solve the small sample size problem for LDA. Pattern Recognit 37(5):1077–1079
  Article MATH Google Scholar
• Zheng ZL, Yang F, Tan WA, Jia J, Yang J (2007) Gabor feature-based face recognition using supervised locality preserving projections. J Signal Proc 87(10):2473–2483
  Article MATH Google Scholar