14.1.3.6 Discriminant Analysis

Chapter Contents (Back)
Discriminant Analysis. Linear Discriminant Analysis. LDA. Discriminant analysis determines which variables discriminate between two or more groups. See also Invariants -- Linear Discriminant Analysis, Fisher Linear Discriminant.

Discriminant Function Analysis,
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McLachlan, G.J.,
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McLachlan, G.J.,
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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.,
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Katre, U.A., Krishnan, T.,
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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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PR(23), No. 7, 1990, pp. 775-783.
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Flasinski, M.[Mariusz], Lewicki, G.[Grzegorz],
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Cox, T.F.[Trevor F.], Ferry, G.[Gillian],
Discriminant analysis using non-metric multidimensional scaling,
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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],
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PR(36), No. 8, August 2003, pp. 1921-1923.
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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],
Two realizations of a general feature extraction framework,
PR(37), No. 5, May 2004, pp. 875-887.
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Extension of conventional linear discriminant analysis. Kernel feature extraction, mean-norm feature extraction. BibRef

Chen, S.C.[Song-Can], Yang, X.[Xubing],
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PR(37), No. 7, July 2004, pp. 1545-1547.
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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],
An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems,
PAMI(26), No. 8, August 2004, pp. 982-994.
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Extend LDA by using pseudoinverse with matricies are singular. BibRef

Howland, P.[Peg], Park, H.S.[Hae-Sun],
Generalizing Discriminant Analysis Using the Generalized Singular Value Decomposition,
PAMI(26), No. 8, August 2004, pp. 995-1006.
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Use GSVD to deal with singular matricies. BibRef

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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PR(40), No. 11, November 2007, pp. 2939-2945.
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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.P.[Jiang-Ping], 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],
Exploring the structure of supervised data by Discriminant Isometric Mapping,
PR(38), No. 4, April 2005, pp. 599-601.
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Demir, G.K., Ozmehmet, K.,
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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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IEEE DOI 0510
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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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Xu, Y.[Yong], Zhang, D.[David], Jin, Z.[Zhong], Li, M.[Miao], Yang, J.Y.[Jing-Yu],
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PR(39), No. 6, June 2006, pp. 1026-1033.
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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.
IEEE DOI 0606
BibRef
Earlier:
Optimal Subclass Discovery for Discriminant Analysis,
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IEEE DOI 0406
BibRef

Hamsici, O.C.[Onur C.], Martinez, A.M.[Aleix M.],
Bayes Optimality in Linear Discriminant Analysis,
PAMI(30), No. 4, April 2008, pp. 647-657.
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Martinez, A.M.[Aleix M.], Hamsici, O.C.[Onur C.],
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You, D.[Di], Hamsici, O.C.[Onur C.], Martinez, A.M.[Aleix M.],
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IEEE DOI 1102
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You, D.[Di], Martinez, A.M.[Aleix M.],
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Wu, X.H.[Xiao-Hong], Zhou, J.J.[Jian-Jiang],
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Kernel methods; Kernel fuzzy discriminant 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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IEEE DOI 0409
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Dai, G.[Guang], Qian, Y.T.[Yun-Tao],
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IEEE DOI 0505
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Zhang, Y.[Yu], Yeung, D.Y.[Dit-Yan],
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Liu, J.[Jun], Chen, S.C.[Song-Can], Tan, X.Y.[Xiao-Yang],
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Yu, X., Wang, X., Liu, B.,
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SPLetters(14), No. 10, October 2007, pp. 742-745.
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Halbe, Z.[Zohar], Aladjem, M.[Mayer],
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Zhang, W.Q.[Wei-Qiang], Liu, J.[Jia],
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IEEE DOI 0811
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Pe, K.[Kalska], Haasdonk, B.[Bernard],
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Haasdonk, B.[Bernard], Pekalska, E.[El zbieta],
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Na, J.H.[Jin Hee], Park, M.S.[Myoung Soo], Choi, J.Y.[Jin Young],
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Feature extraction; Linear boundary discriminant analysis; Boundary/non-boundary pattern BibRef

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Pattern recognition; Linear discriminant analysis; Local sampling mean discriminant analysis; Generalized re-weighting framework; Classification BibRef

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Linear discriminant analysis; Model selection; Under-sampled problem; Face recognition; Principal component analysis; Constrained ridge regression BibRef

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Linear discriminant analysis; Kernel methods; Fuzzy memberships; Reconstruction error; Robust membership calculation BibRef

Zhang, H.H.[Hai-Hong], Guan, C.T.[Cun-Tai], Li, Y.Q.[Yuan-Qing],
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Discriminant analysis; Mutual information; Feature extraction BibRef

Zhang, H.H.[Hai-Hong], Guan, C.T.[Cun-Tai], Ang, K.K.[Kai Keng],
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Zhang, L.H.[Lei-Hong],
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Kim, T.K.[Tae-Kyun], Stenger, B.[Bj÷rn], Kittler, J.V.[Josef V.], Cipolla, R.[Roberto],
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Kim, T.K.[Tae-Kyun], Wong, S.F.[Shu-Fai], Stenger, B.[Bjorn], Kittler, J.V.[Josef V.], Cipolla, R.[Roberto],
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Yang, J.[Jian], Zhang, L.[Lei], Yang, J.Y.[Jing-Yu], Zhang, D.[David],
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Classification; Classifier; Feature extraction; Discriminant analysis; Dimensionality reduction; Pattern recognition BibRef

Yang, J.[Jian], Zhang, L.[Lei], Xu, Y.[Yong], Yang, J.Y.[Jing-Yu],
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Zhang, J.[Jian], Yang, J.[Jian],
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Linear reconstruction measure (LRM) BibRef

An, S.[Shounan], Yoo, J.[Jiho], Choi, S.J.[Seung-Jin],
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Nie, F.P.[Fei-Ping], Xiang, S.M.[Shi-Ming], Liu, Y.[Yun], Hou, C.P.[Chen-Ping], Zhang, C.S.[Chang-Shui],
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Xing, X.L.[Xiang-Lei], Du, S.[Sidan], Jiang, H.[Hua],
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Fisher's linear discriminant BibRef

Lai, Z., Xu, Y., Yang, J., Tang, J., Zhang, D.,
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Linear discriminant analysis BibRef

de Lima, M.S.[Max Sousa], Pereira, J.R.G.[Jose R.G.], Souza, D.S.[Diego Silva],
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Zhao, H.T.[Hai-Tao], Wong, W.K.,
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Guo, J.[Jia], Huang, H.[Hu], Chen, C.[Cheng], Rohde, G.K.,
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channel bank filters BibRef

Tahir, M.A., Yan, F.[Fei], Koniusz, P., Awais, M., Barnard, M., Mikolajczyk, K., Bouridane, A., Kittler, J.V.,
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Sun, S., Xie, X., Yang, M.,
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Chen, H.T.[Hwann-Tzong], Chang, H.W.[Huang-Wei], Liu, T.L.[Tyng-Luh],
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Yan, S.C.[Shui-Cheng], Zhang, H.J.[Hong-Jiang], Hu, Y.X.[Yu-Xiao], Zhang, B.Y.[Ben-Yu], Cheng, Q.S.[Qian-Sheng],
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Vasconcelos, N.M.,
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Gao, J., Ding, X.Q.[Xiao-Qing],
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IEEE DOI 0009
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Huang, X.J.[Xiao-Jei], Wu, Y.S.[Yuo-Shou], Ding, X.Q.[Xiao-Qing],
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ICPR88(II: 1242-1244).
IEEE DOI 8811
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Hiraoka, K., Hidai, K., Hamahira, M., Mizoguchi, H., Mishima, T., Yoshizawa, S.,
Successive Learning of Linear Discriminant Analysis: Sanger-type Algorithm,
ICPR00(Vol II: 664-667).
IEEE DOI 0009
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Training Set Size, Sample Size, Analysis, Selection .


Last update:Nov 11, 2017 at 13:31:57