13.4.1.8.2 LDA in Face Recognition

Etemad, K., Chellappa, R.,
Discriminant Analysis for Recognition of Human Face Images,
JOSA-A(14), 1997, pp. 1724-1733. BibRef 9700
Earlier:
Face Recognition Using Discriminant Eigenvectors,
ICASSP96(XX) Center for Automation Research. University of Maryland. BibRef

Etemad, K., Chellappa, R.,
Separability-based Multiscale Basis Selection and Feature Extraction for Signal and Image Classification,
IP(7), No. 10, October 1998, pp. 1453-1465.
IEEE DOI Link BibRef 9810
Earlier:
Separability-based Tree-Structured Basis Selection for Textures Classification,
ICIP94(III: 441-445).
IEEE DOI Link BibRef

Zhao, W.Y., Chellappa, R., Phillips, P.J.,
Subspace Linear Discriminant Analysis for Face Recognition,
UMD--TR4009, April 1999.
WWW Version.
WWW Version. BibRef 9904

Zhao, W.Y.[Wen-Yi], Phillips, P.J., Chellappa, R.[Rama], Nandhakumar, N.,
Linear Discriminant Analysis of MPF for Face Recognition,
ICPR98(Vol I: 185-188).
IEEE DOI Link 9808
BibRef

Zhao, W.Y., Chellappa, R., Krishnaswamy, A.,
Discriminant Analysis of Principal Components for Face Recognition,
AFGR98(336-341).
IEEE DOI Link BibRef 9800

Zhao, W.Y.,
Performance Perturbation Analysis of Eigen-systems,
ICPR00(Vol II: 105-108).
IEEE DOI Link
HTML Version. 0009
BibRef

Zhao, W.Y.[Wen-Yi],
Discriminant Component Analysis for Face Recognition,
ICPR00(Vol II: 818-821).
IEEE DOI Link 0009
BibRef

Kim, H.W.[Hyun-Woo], Kim, T.K.[Tae-Kyun], Kee, S.C.[Seok-Cheol], Lee, J.H.[Jong-Ha], Hwang, W.J.[Won-Jun], Choi, C.K.[Chang-Kyu],
Method and apparatus of recognizing face using 2nd-order independent component analysis (ICA)/principal component analysis (PCA),
US_Patent7,164,781, Jan 16, 2007
WWW Version. BibRef 0701

Kim, H.W.[Hyun-Woo], Kim, T.K.[Tae-Kyun], Hwang, W.J.[Won-Jun], Kee, S.C.[Seok-Cheol],
Face recognition method and apparatus using component-based face descriptor,
US_Patent7,203,346, Apr 10, 2007
WWW Version. BibRef 0704

Kee, S.C.[Seok-Cheol], Kim, T.K.[Tae-Kyun],
Face recognition method using artificial neural network and apparatus thereof,
US_Patent7,295,687, Nov 13, 2007
WWW Version. BibRef 0711

Kim, T.K.[Tae-Kyun], Kim, H.W.[Hyun-Woo], Hwang, W.J.[Won-Jun], Kittler, J.V.[Josef V.],
Independent component analysis in a local facial residue space for face recognition,
PR(37), No. 9, September 2004, pp. 1873-1885.
WWW Version. 0407
BibRef

Kim, T.K.[Tae-Kyun], Kim, H.W.[Hyun-Woo], Hwang, W.J.[Won-Jun], Kee, S.C.[Seok-Cheol], Kittler, J.V.,
Independent component analysis in a facial local residue space,
CVPR03(I: 579-586).
IEEE Abstract. 0307
BibRef
And:
Face description based on decomposition and combining of a facial space with LDA,
ICIP03(III: 877-880).
IEEE Abstract. 0312
BibRef
Earlier:
Component-based LDA Face Descriptor for Image Retrieval,
BMVC02(Poster Session). 0208
BibRef

Kim, T.K.[Tae-Kyun], Kim, H.W.[Hyun-Woo], Hwang, W.J.[Won-Jun], Kittler, J.V.[Josef V.],
Component-based LDA face description for image retrieval and MPEG-7 standardisation,
IVC(23), No. 7, 1 July 2005, pp. 631-642.
WWW Version. 0506
BibRef

Kim, T.K.[Tae-Kyun], Kittler, J.V.,
Locally Linear Discriminant Analysis for Multimodally Distributed Classes for Face Recognition with a Single Model Image,
PAMI(27), No. 3, March 2005, pp. 318-327.
IEEE Abstract. 0501
Locally linear -- global structures are nonlinear, align local structures. Overcome pose variations using only a single initial image. BibRef

Kim, T.K., Kittler, J.V., Kim, H.C., Kee, S.C.,
Discriminant Analysis by Locally Linear Transformations,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Sadeghi, M.T., Kittler, J.V.,
Decision Making in the LDA Space: Generalised Gradient Direction Metric,
AFGR04(248-253).
IEEE Abstract. 0411
BibRef

Smith, R.S., Kittler, J.V., Hamouz, M., Illingworth, J.,
Face Recognition Using Angular LDA and SVM Ensembles,
ICPR06(III: 1008-1012).
WWW Version. 0609
BibRef

Kim, T.K.[Tae-Kyun], Lee, S.U.[Sung-Uk], Lee, J.H.[Jong-Ha], Kee, S.C.[Seok-Cheol], Kim, S.R.[Sang-Ryong],
Integrated approach of multiple face detection for video surveillance,
ICPR02(II: 394-397).
IEEE DOI Link 0211
BibRef

Arashloo, S.R.[Shervin Rahimzadeh], Kittler, J.V.[Josef V.],
Hierarchical Image Matching for Pose-invariant Face Recognition,
BMVC09(xx-yy).
PDF Version. 0909
BibRef
And:
Pose-Invariant Face Matching Using MRF Energy Minimization Framework,
EMMCVPR09(56-69).
Springer DOI Link 0908
BibRef

Dai, D.Q.[Dao-Qing], Yuen, P.C.[Pong C.],
Regularized discriminant analysis and its application to face recognition,
PR(36), No. 3, March 2003, pp. 845-847.
WWW Version. 0301
BibRef
And:
Wavelet-Based 2-Parameter Regularized Discriminant Analysis for Face Recognition,
AVBPA03(137-144).
HTML Version. 0310
BibRef

Dai, D.Q.[Dao-Qing], Yuen, P.C.[Pong C.],
Face Recognition by Regularized Discriminant Analysis,
SMC-B(37), No. 4, August 2007, pp. 1080-1085.
IEEE DOI Link 0707
BibRef

Zhuang, X.S.[Xiao-Sheng], Dai, D.Q.[Dao-Qing],
Improved discriminate analysis for high-dimensional data and its application to face recognition,
PR(40), No. 5, May 2007, pp. 1570-1578.
WWW Version. 0702
Linear discriminant analysis; Principal component analysis; Small sample size problem; Feature extraction; Face recognition BibRef

Zhao, H.T.[Hai-Tao], Yuen, P.C.[Pong C.], Kwok, J.T.,
A Novel Incremental Principal Component Analysis and Its Application for Face Recognition,
SMC-B(36), No. 4, August 2006, pp. 873-886.
IEEE DOI Link 0606
BibRef

Zhao, H.T.[Hai-Tao], Yuen, P.C.[Pong C.],
Incremental Linear Discriminant Analysis for Face Recognition,
SMC-B(38), No. 1, February 2007, pp. 210-221.
IEEE DOI Link 0801
BibRef

Zhao, H.T.[Hai-Tao], Yuen, P.C.[Pong C.], Yang, J.Y.[Jing-Yu],
An Optimal Subspace Analysis for Face Recognition,
ICBA04(95).
WWW Version. 0505
BibRef

Chen, W.S.[Wen-Sheng], Yuen, P.C.[Pong-Chi], Huang, J.[Jian], Dai, D.Q.[Dao-Qing],
Kernel machine-based one-parameter regularized Fisher discriminant method for face recognition,
SMC-B(35), No. 4, August 2005, pp. 659-669.
IEEE DOI Link 0508
BibRef
And:
A Novel One-Parameter Regularized Kernel Fisher Discriminant Method for Face Recognition,
IbPRIA05(II:67).
Springer DOI Link 0509
BibRef

Chen, W.S.[Wen-Sheng], Yuen, P.C.[Pong Chi], Huang, J.[Jian], Lai, J.H.[Jian-Huang],
Wavelet Kernel Construction for Kernel Discriminant Analysis on Face Recognition,
Biometrics06(47).
IEEE DOI Link 0609
BibRef
And:
Face Classification based on Shannon Wavelet Kernel and Modified Fisher Criterion,
FGR06(467-474).
IEEE DOI Link 0604
BibRef

Chen, S.C.[Song-Can], Liu, J.[Jun], Zhou, Z.H.[Zhi-Hua],
Making FLDA applicable to face recognition with one sample per person,
PR(37), No. 7, July 2004, pp. 1553-1555.
WWW Version. 0405
BibRef

Chen, S.C.[Song-Can], Zhang, D.Q.A.[Dao-Qi-Ang], Zhou, Z.H.[Zhi-Hua],
Enhanced (PC)2A for Face Recognition with One Training Image Per Person,
PRL(25), No. 10, 16 July 2004, pp. 1173-1181.
WWW Version. 0407
BibRef

Liu, J.[Jun], Chen, S.C.[Song-Can],
Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small sample size problem,
IVC(24), No. 3, 1 March 2006, pp. 249-262.
WWW Version. PCA; LDA; Discriminant common vectors (DCV); Neighbourhood components analysis (NCA); Laplacianfaces; Small sample size 0604
BibRef

Zhu, Y.L.[Yu-Lian], Liu, J.[Jun], Chen, S.C.[Song-Can],
Semi-random subspace method for face recognition,
IVC(27), No. 9, 3 August 2009, pp. 1358-1370.
Elsevier DOI Link
WWW Version. 0906
Random subspace method (RSM); Semi-random subspace method (Semi-RS); Recognition robustness; Small sample size (SSS); Sub-image method; Face recognition; Kappa-error diagram BibRef

Wu, J.X.[Jian-Xin], Zhou, Z.H.[Zhi-Hua],
Face recognition with one training image per person,
PRL(23), No. 14, December 2002, pp. 1711-1719.
HTML Version. 0208
Extension of PCA, to Projection-Combined PCA. Combine face with H and V projections and then do PCA. BibRef

Lu, J.W.[Ju-Wei], Plataniotis, K.N., Venetsanopoulos, A.N., Wang, J.[Jie],
An efficient kernel discriminant analysis method,
PR(38), No. 10, October 2005, pp. 1788-1790.
WWW Version. 0508
BibRef

Wang, J.[Jie], Plataniotis, K.N., Lu, J.W.[Ju-Wei], Venetsanopoulos, A.N.,
Kernel quadratic discriminant analysis for small sample size problem,
PR(41), No. 5, May 2008, pp. 1545-1555.
WWW Version. 0711
Linear discriminant analysis; Quadratic discriminant analysis; Small sample size; Kernel machine technique BibRef

Lu, J.W.[Ju-Wei], Plataniotis, K.N., Venetsanopoulos, A.N.,
Regularized discriminant analysis for the small sample size problem in face recognition,
PRL(24), No. 16, December 2003, pp. 3079-3087.
WWW Version. 0310
BibRef
Earlier:
Boosting linear discriminant analysis for face recognition,
ICIP03(I: 657-660).
IEEE Abstract. 0312
BibRef
Earlier:
A kernel machine based approach for multi-view face recognition,
ICIP02(I: 265-268).
IEEE Abstract. 0210
BibRef

Lu, J.W., Plataniotis, K.N.,
Boosting face recognition on a large-scale database,
ICIP02(II: 109-112).
IEEE Abstract. 0210
BibRef

Lu, J.W.[Ju-Wei], Plataniotis, K.N., Venetsanopoulos, A.N.,
Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition,
PRL(26), No. 2, 15 January 2005, pp. 181-191.
WWW Version. 0501
BibRef
Earlier:
Regularization studies on LDA for face recognition,
ICIP04(I: 63-66).
IEEE DOI Link 0505
BibRef

Wang, J.[Jie], Lu, H.P.[Hai-Ping], Plataniotis, K.N., Lu, J.W.[Ju-Wei],
Gaussian kernel optimization for pattern classification,
PR(42), No. 7, July 2009, pp. 1237-1247.
Elsevier DOI Link
WWW Version. 0903
Gaussian kernel; Kernel optimization; Pattern classification; Small sample size BibRef

Wang, J.[Jie], Plataniotis, K.N., Venetsanopoulos, A.N.,
Selecting discriminant eigenfaces for face recognition,
PRL(26), No. 10, 15 July 2005, pp. 1470-1482.
WWW Version. 0506
BibRef

Wang, J.[Jie], Plataniotis, K.N., Lu, J.W.[Ju-Wei], Venetsanopoulos, A.N.,
On solving the face recognition problem with one training sample per subject,
PR(39), No. 9, September 2006, pp. 1746-1762.
WWW Version. 0606
BibRef
Earlier: A1, A3, A2, A4:
Face Recognition: Combine Generic and Specific Solutions,
ICIAR05(1057-1064).
Springer DOI Link 0509
Generic learning; One training sample per subject BibRef

Wang, J.[Jie], Gu, Y.T.[Yuan-Tao], Plataniotis, K.N., Venetsanopoulos, A.N.,
Select eigenfaces for face recognition with one training sample per subject,
ICARCV04(I: 391-396).
IEEE DOI Link 0412
BibRef

Zheng, W.M.[Wen-Ming], Zhao, L.[Li], Zou, C.R.[Cai-Rong],
An efficient algorithm to solve the small sample size problem for LDA,
PR(37), No. 5, May 2004, pp. 1077-1079.
WWW Version. 0405
BibRef
Earlier: A1, A3, A2:
Real-Time Face Recognition using Gram-Schmidt Orthogonalization for LDA,
ICPR04(II: 403-406).
IEEE DOI Link 0409
BibRef

He, Y.[Yunhui], Zhao, L.[Li], Zou, C.R.[Cai-Rong],
Face recognition using common faces method,
PR(39), No. 11, November 2006, pp. 2218-2222.
WWW Version. 0608
Face recognition; Common vector approach; Kernel method BibRef

Song, F.[Fengxi], Yang, J.Y.[Jing-Yu], Liu, S.H.[Shu-Hai],
Large margin linear projection and face recognition,
PR(37), No. 9, September 2004, pp. 1953-1955.
WWW Version. 0407
Like LDA based on Fisher discriminant, map to a 1-D space. BibRef

Pima, I.[Itzik], Aladjem, M.[Mayer],
Regularized discriminant analysis for face recognition,
PR(37), No. 9, September 2004, pp. 1945-1948.
WWW Version. 0407
BibRef

Liu, K.[Ke], Cheng, Y.Q.[Yong-Qing], Yang, J.Y.[Jing-Yu],
A generalized optimal set of discriminant vectors,
PR(25), No. 7, July 1992, pp. 731-739.
WWW Version. 0401
BibRef

Wu, X.J.[Xiao-Jun], Kittler, J.V.[Josef V.], Yang, J.Y.[Jing-Yu], Wang, S.T.[Shi-Tong],
An analytical algorithm for determining the generalized optimal set of discriminant vectors,
PR(37), No. 9, September 2004, pp. 1949-1952.
WWW Version. 0407
BibRef

Wu, X.J.[Xiao-Jun], Kittler, J.V., Yang, J.Y.[Jing-Yu], Messer, K., Wang, S.T.[Shi-Tong],
A New Kernel Direct Discriminant Analysis (KDDA) Algorithm for Face Recognition,
BMVC04(xx-yy).
HTML Version. 0508
BibRef
And:
A new direct LDA (D-LDA) algorithm for feature extraction in face recognition,
ICPR04(IV: 545-548).
IEEE DOI Link 0409
BibRef

Price, J.R.[Jeffery R.], Gee, T.F.[Timothy F.],
Face recognition using direct, weighted linear discriminant analysis and modular subspaces,
PR(38), No. 2, February 2005, pp. 209-219.
WWW Version. 0411
BibRef

Lee, J.G.[Jian-Guo], Wang, J.D.[Jing-Dong], Zhang, C.S.[Chang-Shui], Bian, Z.Q.[Zhao-Qi],
Visual object recognition using probabilistic kernel subspace similarity,
PR(38), No. 7, July 2005, pp. 997-1008.
WWW Version. 0505
See also Face recognition using spectral features. BibRef

Zheng, W.S.[Wei-Shi], Lai, J.H.[Jian-Huang], Yuen, P.C.,
GA-fisher: a new LDA-based face recognition algorithm with selection of principal components,
SMC-B(35), No. 5, October 2005, pp. 1065-1078.
IEEE DOI Link 0510
BibRef

Ma, B.[Bo], Wong, H.S.[Hau-San],
2D clustering based discriminant analysis for 3D head model classification,
PR(39), No. 3, March 2006, pp. 491-494.
WWW Version. 0601
BibRef

Yu, Z.W.[Zhi-Wen], Wong, H.S.[Hau-San],
Knowledge based cluster ensemble for 3D head model classification,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Ma, B.[Bo], Qu, H.Y.[Hui-Yang], Wong, H.S.[Hau-San],
Kernel clustering-based discriminant analysis,
PR(40), No. 1, January 2007, pp. 324-327.
WWW Version. 0611
Kernel linear discriminant analysis (KLDA); Clustering-based discriminant analysis (CDA); Kernel fuzzy c-means; Kernel clustering-based discriminant analysis (KCDA) BibRef

Zhou, D.[Dake], Yang, X.[Xin], Peng, N.S.[Ning-Song], Wang, Y.Z.[Yu-Zhong],
Improved-LDA based face recognition using both facial global and local information,
PRL(27), No. 6, 15 April 2006, pp. 536-543.
WWW Version. Discrete cosine transform (DCT); Eigenfaces; Fisherfaces; Principal component analysis (PCA) 0604
BibRef

Zhou, D.[Dake], Yang, X.[Xin],
Face Recognition Using Improved-LDA,
ICIAR04(II: 692-699).
WWW Version. 0409
BibRef

Duin, R.P.W.[Robert P.W.], Loog, M.[Marco], Ho, T.K.[Tin Kam],
Recent submissions in linear dimensionality reduction and face recognition,
PRL(27), No. 7, May 2006, pp. 707-708.
WWW Version. 0604
BibRef

Zhao, D.L.[De-Li], Liu, C.Q.[Chong-Qing], Zhang, Y.H.[Yue-Hui],
Discriminant feature extraction using dual-objective optimization model,
PRL(27), No. 9, July 2006, pp. 929-936.
WWW Version. Linear discriminant analysis (LDA); Principal component analysis (PCA); Face recognition 0605
BibRef

Noushath, S., Kumar, G.H.[G. Hemantha], Shivakumara, P.,
(2D)2LDA: An efficient approach for face recognition,
PR(39), No. 7, July 2006, pp. 1396-1400.
WWW Version. 0606
Principal component analysis; Linear discriminant analysis; Face recognition BibRef

Noushath, S., Rao, A.[Ashok], Kumar, G.H.[G. Hemantha],
Mixture-of-Laplacian Faces and Its Application to Face Recognition,
PReMI07(568-575).
Springer DOI Link 0712
BibRef

Zuo, W.M.[Wang-Meng], Zhang, D.[David], Yang, J., Wang, K.Q.[Kuan-Quan],
BDPCA Plus LDA: A Novel Fast Feature Extraction Technique for Face Recognition,
SMC-B(36), No. 4, August 2006, pp. 946-953.
IEEE DOI Link 0606
BibRef

Zuo, W.M.[Wang-Meng], Wang, K.Q.[Kuan-Quan], Zhang, D.[David],
Improvement on Null Space LDA for Face Recognition: A Symmetry Consideration,
ICB06(78-84).
Springer DOI Link 0601
BibRef

Zhang, L.[Lei], Gao, Q.X.[Quan-Xue], Zhang, D.[David],
Block Independent Component Analysis for Face Recognition,
CIAP07(217-222).
IEEE DOI Link 0709
BibRef

Yan, S.C.[Shui-Cheng], Xu, D.[Dong], Yang, Q.A.[Qi-Ang], Zhang, L.[Lei], Tang, X.[Xiaoou], Zhang, H.J.[Hong-Jiang],
Multilinear Discriminant Analysis for Face Recognition,
IP(16), No. 1, January 2007, pp. 212-220.
IEEE DOI Link 0701
BibRef
Earlier:
Discriminant Analysis with Tensor Representation,
CVPR05(I: 526-532).
IEEE DOI Link 0507
BibRef

Yang, S.[Shu], Yan, S.C.[Shui-Cheng], Xu, D.[Dong], Tang, X.[Xiaoou], Zhang, C.[Chao],
Fisher+Kernel Criterion for Discriminant Analysis,
CVPR05(II: 197-202).
IEEE DOI Link 0507
BibRef

Zhang, X.X.[Xiao-Xun], Jia, Y.D.[Yun-De],
A linear discriminant analysis framework based on random subspace for face recognition,
PR(40), No. 9, September 2007, pp. 2585-2591.
WWW Version. 0705
LDA; Random subspace; Principal subspace BibRef

Zhao, Y.D.[You-Dong], Xu, S.A.[Shu-Ang], Jia, Y.D.[Yun-De],
Discriminant Clustering Embedding for Face Recognition with Image Sets,
ACCV07(II: 641-650).
Springer DOI Link 0711
BibRef

Niu, B.[Ben], Yang, Q.A.[Qi-Ang], Shiu, S.C.K.[Simon Chi Keung], Pal, S.K.[Sankar Kumar],
Two-dimensional Laplacianfaces method for face recognition,
PR(41), No. 10, October 2008, pp. 3237-3243.
WWW Version. 0808
Feature extraction; Image based projection; Two-dimensional Laplacianfaces; Eigenfaces; Fisherfaces BibRef

Yan, Y.[Yan], Zhang, Y.J.[Yu-Jin],
1D correlation filter based class-dependence feature analysis for face recognition,
PR(41), No. 12, December 2008, pp. 3834-3841.
WWW Version. 0810
Correlation filter; Optimal extra-class origin output tradeoff filter (OEOTF); Class-dependence feature analysis (CFA); Linear subspace learning; Face recognition BibRef

Yan, Y.[Yan], Zhang, Y.J.[Yu-Jin],
A novel class-dependence feature analysis method for face recognition,
PRL(29), No. 14, October 2008, pp. 1907-1914.
WWW Version. 0804
Tensor subspace analysis (TSA); Class-dependence feature analysis (CFA); Correlation filter; Optimal origin correlation output tradeoff filter (OOCTF); Face recognition BibRef

Li, B.[Bo], Zheng, C.H.[Chun-Hou], Huang, D.S.[De-Shuang],
Locally linear discriminant embedding: An efficient method for face recognition,
PR(41), No. 12, December 2008, pp. 3813-3821.
WWW Version. 0810
Feature extraction; Dimensionality reduction; Manifold learning; Locally linear embedding; Face recognition BibRef

Beveridge, J.R.[J. Ross], Givens, G.H.[Geof H.], Phillips, P.J.[P. Jonathon], Draper, B.A.[Bruce A.],
Factors that influence algorithm performance in the Face Recognition Grand Challenge,
CVIU(113), No. 6, June 2009, pp. 750-762.
Elsevier DOI Link
WWW Version. 0904
Face recognition; Subject covariates; Performance analysis; Statistical modeling BibRef

Bolme, D.S.[David S.], Beveridge, J.R.[J. Ross], Draper, B.A.[Bruce A.],
FaceL: Facile Face Labeling,
CVS09(21-32).
Springer DOI Link 0910
BibRef

Givens, G.H.[Geof H.], Beveridge, J.R.[J. Ross], Draper, B.A.[Bruce A.], Bolme, D.S.[David S.],
Using a Generalized Linear Mixed Model to Study the Configuration Space of a PCA+LDA Human Face Recognition Algorithm,
AMDO04(1-11).
WWW Version. 0505
BibRef

Wang, T.S.[Tie-Sheng], Shi, P.F.[Peng-Fei],
Kernel Grassmannian distances and discriminant analysis for face recognition from image sets,
PRL(30), No. 13, 1 October 2009, pp. 1161-1165,.
Elsevier DOI Link
WWW Version. 0909
Subspace distance; Grassmann manifold; Principal angles; Face recognition; Video based face recognition; Discriminant analysis BibRef

Park, J.H.[Jae Hee], Kim, S.D.[Seong Dae], Kim, W.J.[Wook-Joong],
A decision-boundary-oriented feature selection method and its application to face recognition,
PRL(30), No. 13, 1 October 2009, pp. 1166-1174,.
Elsevier DOI Link
WWW Version. 0909
Piecewise linear decision boundary; Face recognition; Linear discriminant analysis; Elemental direction preserving discriminant analysis BibRef

Zhang, S.Q.[Shi-Qing],
Enhanced supervised locally linear embedding,
PRL(30), No. 13, 1 October 2009, pp. 1208-1218,.
Elsevier DOI Link
WWW Version. 0909
Dimensionality reduction; Supervised locally linear embedding; Face recognition BibRef

Du, C.H.[Chun-Hua], Yang, J.[Jie], Wu, Q.A.[Qi-Ang], Zhang, T.H.[Tian-Hao],
Face recognition using message passing based clustering method,
JVCIR(20), No. 8, November 2009, pp. 608-613,.
Elsevier DOI Link
WWW Version. 0911
Message passing; Affinity propagation; Representative face image; Face recognition; Linear discriminant analysis (LDA) BibRef

Wang, G.Q.[Guo-Qiang], Shi, N.F.[Nian-Feng], Hou, X.J.[Xiao-Jing],
Orthogonal Neighborhood Preserving Discriminant Projections for Face Recognition,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Paisitkriangkrai, S.[Sakrapee], Shen, C.H.[Chun-Hua], Zhang, J.[Jian],
Efficiently training a better visual detector with sparse eigenvectors,
CVPR09(1129-1136).
IEEE DOI Link 0906
Boosted Greedy Sparse Linear Discriminant Analysis (BGSLDA). Face recognition. BibRef

Geng, Y.L.[Yan-Lin], Shan, C.F.[Cai-Feng], Hao, P.W.[Peng-Wei],
Square Loss based regularized LDA for face recognition using image sets,
Biometrics09(99-106).
IEEE DOI Link 0906
BibRef

Fan, B.[Bin], Lei, Z.[Zhen], Li, S.Z.[Stan Z.],
Normalized LDA for semi-supervised learning,
FG08(1-6).
IEEE DOI Link 0809
BibRef

Berkovich, E.[Erez], Pratt, H.[Hillel], Gur, M.[Moshe],
Face Recognition with Biologically Motivated Boosted Features,
CogVis08(1-13).
Springer DOI Link 0805
Pseudo Quadratic Discriminant Classifier (PQDC). Face similarity function, which is the result of combining linear projections of the image features. Compare to Eigenface algorithms. BibRef

Cheng, Z.D.[Zheng-Dong], Shen, B.[Bin], Fan, X.[Xiang], Zhang, Y.J.[Yu-Jin],
Automatic coefficient selection in Weighted Maximum Margin Criterion,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Wang, Z.[Zhenger], Ding, X.Q.[Xiao-Qing], Fang, C.[Chi],
Pose adaptive LDA based face recognition,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Bengherabi, M.[Messaoud], Mezai, L.[Lamia], Harizi, F.[Farid], Guessoum, A.[Abderrazak], Cheriet, M.[Mohamed],
Score Fusion of SVD and DCT-RLDA for Face Recognition,
IPTA08(1-8).
IEEE DOI Link 0811
BibRef

Lu, J.W.[Ji-Wen], Tan, Y.P.[Yap-Peng],
Enhanced face recognition using tensor neighborhood preserving discriminant projections,
ICIP08(1916-1919).
IEEE DOI Link 0810
BibRef

Chougdali, K.[Khalid], Jedra, M.[Mohamed], Zahid, N.[Noureddine],
Kernel Weighted Scatter-Difference-Based Discriminant Analysis for Face Recognition,
ICIAR08(xx-yy).
Springer DOI Link 0806
BibRef

Moghaddam, B.[Baback], Weiss, Y.[Yair], Avidan, S.[Shai],
Fast Pixel/Part Selection with Sparse Eigenvectors,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Moghaddam, B.[Baback], Weiss, Y.[Yair], Avidan, S.[Shai],
Generalized Spectral Bounds for Sparse LDA,
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Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Three-Dimensional Matching Using Hashing/Indexing .