14.1.3.3 Discriminant Analysis

Discriminant Function Analysis,
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Foley, D.H., and Sammon, Jr., J.W.,
An optimal set of discriminant vectors,
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McLachlan, G.J.,
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McLachlan, G.J.,
Discriminant Analysis and Statistical Pattern Recognition,
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Evaluation of the effectiveness of features selected by discriminant analysis methods,
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Lawoko, C.R.O., McLachlan, G.J.,
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Bobrowski, L., Niemiro, W.,
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Tutz, G.E.[Gerhard E.],
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Krishnan, T., Nandy, S.C.,
Discriminant analysis with a stochastic supervisor,
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Krishnan, T., Nandy, S.C.,
Efficiency of logistic-normal stochastic supervision,
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Katre, U.A., Krishnan, T.,
Pattern recognition with an imperfect supervisor,
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Titterington, D.M.,
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Krusinska, E.[Ewa],
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Wyman, F.J.[Frank J.], Young, D.M.[Dean M.], Turner, D.W.[Danny W.],
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Flasinski, M.[Mariusz], Lewicki, G.[Grzegorz],
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Cox, T.F.[Trevor F.], Ferry, G.[Gillian],
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Brasher, J.D., Kinser, J.M.,
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Lovell, D.R., Dance, C.R., Niranjan, M., Prager, R.W., Dalton, K.J., Derom, R.,
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Saito, N.[Naoki], Coifman, R.R.[Ronald R.], Geshwind, F.B.[Frank B.], Warner, F.[Fred],
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Jing, X.Y.[Xiao-Yuan], Zhang, D.[David], Jin, Z.[Zhong],
Improvements on the Uncorrelated Optimal Discriminant Vectors,
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See also Face recognition based on a group decision-making combination approach. BibRef

Xu, Y.[Yong], Yang, J.Y.[Jing-Yu], Jin, Z.[Zhong],
Theory analysis on FSLDA and ULDA,
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Uncorrelated linear discriminant analysis. See also Face recognition based on the uncorrelated discriminant transformation. BibRef

Jing, X.Y.[Xiao-Yuan], Zhang, D.[David], Jin, Z.[Zhong],
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Ma, J.S.[Jun-Shui], Theiler, J.[James], Perkins, S.[Simon],
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Chen, S.C.[Song-Can], Yang, X.[Xubing],
Alternative linear discriminant classifier,
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Park, C.H.[Cheong Hee], Park, H.S.[Hae-Sun],
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Dimension reduction; Feature extraction; Generalized linear discriminant analysis; Kernel methods; Nonlinear discriminant analysis; Undersampled problems See also Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis. BibRef

Ye, J.P.[Jie-Ping], Janardan, R.[Ravi], Park, C.H.[Cheong Hee], Park, H.S.[Hae-Sun],
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Howland, P.[Peg], Park, H.S.[Hae-Sun],
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Howland, P.[Peg], Wang, J.L.[Jian-Lin], Park, H.S.[Hae-Sun],
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Kim, H.[Hyunsoo], Drake, B.L.[Barry L.], Park, H.S.[Hae-Sun],
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Multiclass classifier; Generalized linear discriminant analysis (LDA); Generalized singular value decomposition (GSVD); Dimension reduction; Undersampled problems BibRef

Li, Q.[Qi], Kambhamettu, C.[Chandra], Ye, J.P.[Jie-Ping],
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Liang, Z.Z.[Zhi-Zheng], Shi, P.F.[Peng-Fei],
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Liang, Z.Z.[Zhi-Zheng], Shi, P.F.[Peng-Fei],
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Liang, Z.Z.[Zhi-Zheng], Li, Y.F.[You-Fu], Shi, P.F.[Peng-Fei],
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Feature extraction; Linear discriminant analysis; 2DLDA; Discriminant power; Distance measure BibRef

Hua, J.P.[Jian-Ping], Xiong, Z.X.[Zi-Xiang], Dougherty, E.R.[Edward R.],
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Dougherty, E.R.[Edward R.], Hua, J.[Jiangping], Xiong, Z.X.[Zi-Xiang], Chen, Y.D.[Yi-Dong],
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Halbe, Z.[Zohar], Aladjem, M.[Mayer],
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Weng, S.F.[Shi-Feng], Zhang, C.S.[Chang-Shui], Lin, Z.[Zhonglin],
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Demir, G.K., Ozmehmet, K.,
Online local learning algorithms for linear discriminant analysis,
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Zheng, W.M.[Wen-Ming],
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Pang, S.N.[Shao-Ning], Ozawa, S., Kasabov, N.,
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Zhao, Q.[Qijun], Lu, H.T.[Hong-Tao], Zhang, D.[David],
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PR(39), No. 2, February 2006, pp. 310-312.
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Searches for optimal discriminant vectors through linearly combining standard bases. BibRef

Xu, Y.[Yong], Zhang, D.[David], Jin, Z.[Zhong], Li, M.[Miao], Yang, J.Y.[Jing-Yu],
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Fisher discriminant analysis; Kernel-based nonlinear discriminant analysis; Fast kernel-based nonlinear method; Face recognition BibRef

Zhu, M.L.[Man-Li], Martinez, A.M.[Aleix M.],
Subclass Discriminant Analysis,
PAMI(28), No. 8, August 2006, pp. 1274-1286.
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Earlier:
Optimal Subclass Discovery for Discriminant Analysis,
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Hamsici, O.C.[Onur C.], Martinez, A.M.[Aleix M.],
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Martinez, A.M.[Aleix M.], Hamsici, O.C.[Onur C.],
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Pattern recognition; Paleontology; Discriminant analysis; Morphological model; Physical anthropology; Homo floresiensis BibRef

Wu, X.H.[Xiao-Hong], Zhou, J.J.[Jian-Jiang],
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Kernel methods; Kernel fuzzy discriminant analysis BibRef

Zhang, W.[Wei], Xue, X.Y.[Xiang-Yang], Lu, H.[Hong], Guo, Y.F.[Yue-Fei],
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Discriminant neighborhood embedding (DNE); Intra-class attraction; Inter-class repulsion; Pattern classification BibRef

Zhang, W.[Wei], Xue, X.Y.[Xiang-Yang], Sun, Z.C.[Zi-Chen], Lu, H.[Hong], Guo, Y.F.[Yue-Fei],
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Pattern classification; Distance metric; Discriminant neighbors; Spectral analysis BibRef

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Linear discriminant analysis; Feature extraction; Fisher criterion; Foley-Sammon transform See also optimal set of discriminant vectors, An. BibRef

Dai, G.[Guang], Yeung, D.Y.[Dit-Yan], Qian, Y.T.[Yun-Tao],
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Face Recognition; Feature extraction; Nonlinear dimensionality reduction; Kernel discriminant analysis; Kernel fractional-step discriminant analysis BibRef

Dai, G.[Guang], Qian, Y.T.[Yun-Tao], Jia, S.[Sen],
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Dai, G.[Guang], Qian, Y.T.[Yun-Tao],
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Regularized discriminant analysis (RDA); Discriminant common vectors (DCV); Maximal margin criterion (MMC); Small sample size (SSS); Eigenvalue distribution BibRef

Yu, X., Wang, X., Liu, B.,
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Pe, K.[Kalska], Haasdonk, B.[Bernard],
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Training Set Size, Analysis, Selection .