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Stork, Pattern Classi cation, John Wiley & Sons, New York, 2000 17 T Hastie, R Tibshirani, and JH Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer, New York, 2001 18 A M Martinez and M Zhu, Where are linear feature extraction methods applicable IEEE Trans Pattern Anal Mach Intell 27(12):1934 1944, 2005 19 P N Belhumeour, J P Hespanha, and D J Kriegman, Eigenfaces vs Fisherfaces: Recognition using class speci c linear projection IEEE Trans Pattern Anal Mach Intell 19(7):711 720, 1997 20 L F Chen, H Y M Liao, M T Ko, J C Lin, and G J Yu, A new lda-based face recognition system which can solve the small sample size problem, Pattern Recognit 33:1713 1726, 2000 21 Y Guo, T Hastie, and R Tibshirani, Regularized linear discriminant analysis and its application in microarrays, Biostatistics 8(1):86 100, 2007 22 A M.

. . 611 . . 611 . . 611 . . . . . . . . . . . . . . 613 615 616 616 616 617 619

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Martinez and A C Kak, PCA versus LDA, IEEE Trans Pattern Anal Mach Intell 23(2):228 233, 2001 23 X Wang and X Tang, A uni ed framework for subspace face recognition IEEE Trans Pattern Anal Mach Intell 26(9):1222 1228, 2004 24 J Ye, Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems, J Mach Learning Res 6:483 502, 2005 25 H Park, M Jeon, and J B Rosen, Lower dimensional representation of text data based on centroids and least squares, BIT 43(2):1 22, 2003 26 P Howland, M Jeon, and H Park, Structure preserving dimension reduction for clustered text data based on the generalized singular value decomposition, SIAM J Matrix Anal Appl 25(1):165 179, 2003 27 G H Golub and C F Van Loan, Matrix Computations, 3rd edition, The Johns Hopkins University Press, Baltimore, 1996 28 W Zhao, R Chellappa, and P.

Other Java Integration Topics (and Learning More) . . . . . . . . . . . . . 619 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 620

Examples of Using COM Creating a COM Object Getting and Setting an Object s Properties Calling an Object s Methods Advanced COM Concepts Inspecting COM classes, interfaces, and type libraries by Using OLEView Finding a class s CLSID or ProgID Finding a library or class containing certain functionality Finding documentation for a class Finding documentation for a type library Finding documentation for an interface Interpreting method and property definitions COM Caveats Summary 621 624 626 627 628 629 629 631 631 631 632 632 634 635.

Phillips, Subspace linear discriminant analysis for face recognition, Technical Report CAR-TR-914, Center for Automation Research, University of Maryland, 1999 29 V N Vapnik Statistical Learning Theory, John Wiley & Sons, New York, 1998 30 L Duchene and S Leclerq, An optimal transformation for discriminant and principal component analysis, IEEE Trans Pattern Anal Mach Intell 10(6):978 983, 1988 31 J Ye, T Xiong, Q Li, R Janardan, J Bi, V Cherkassky, and C Kambhamettu, Ef cient model selection for regularized linear discriminant analysis, in Proceedings of the 15th ACM International Conference on Information and Knowledge Management, 2006, pp 532 539 32 H Cevikalp, M Neamtu, M Wilkes, and A Barkana, Discriminative common vectors for face recognition, IEEE Trans Pattern Anal Mach Intell 27(1):4 13, 2005 33 J Ye and T Xiong, Computational and theoretical analysis of null space and orthogonal linear discriminant analysis, J Mach Learning Res 7:1183 1204, 2006 34.

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