13.4.1.9.2 LDA in Face Recognition

Chapter Contents (Back)
LDA. Face Recognition. Linear Discriminant Analysis.

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 BibRef 9810
Earlier:
Separability-based Tree-Structured Basis Selection for Textures Classification,
ICIP94(III: 441-445).
IEEE DOI BibRef

Zhao, W.Y., Chellappa, R., Phillips, P.J.,
Subspace Linear Discriminant Analysis for Face Recognition,
UMD--TR4009, April 1999.
WWW Link.
WWW Link. 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 9808
BibRef

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

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

Zhao, W.Y.[Wen-Yi],
Discriminant Component Analysis for Face Recognition,
ICPR00(Vol II: 818-821).
IEEE DOI 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 Link. 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 Link. 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 Link. 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 Link. 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 DOI 0307
BibRef
And:
Face description based on decomposition and combining of a facial space with LDA,
ICIP03(III: 877-880).
IEEE DOI 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 Link. 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).
WWW Link. 0411
BibRef

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

Arashloo, S.R.[Shervin Rahimzadeh], Kittler, J.V.[Josef V.],
Energy Normalization for Pose-Invariant Face Recognition Based on MRF Model Image Matching,
PAMI(33), No. 6, June 2011, pp. 1274-1280.
IEEE DOI 1105
BibRef
Earlier:
Hierarchical Image Matching for Pose-invariant Face Recognition,
BMVC09(xx-yy).
PDF File. 0909
BibRef
And:
Pose-Invariant Face Matching Using MRF Energy Minimization Framework,
EMMCVPR09(56-69).
Springer DOI 0908
Image matching from MRFs. Energy of the match between a pair as measure of goodness of match. Moderate spatial transormations. BibRef

Arashloo, S.R.[Shervin Rahimzadeh], Kittler, J.V.[Josef V.],
Dynamic Texture Recognition Using Multiscale Binarized Statistical Image Features,
MultMed(16), No. 8, December 2014, pp. 2099-2109.
IEEE DOI 1502
image recognition BibRef

Arashloo, S.R.[Shervin Rahimzadeh], Amirani, M.C.[Mehdi Chehel], Noroozi, A.[Ardeshir],
Dynamic texture representation using a deep multi-scale convolutional network,
JVCIR(43), No. 1, 2017, pp. 89-97.
Elsevier DOI 1702
Dynamic texture BibRef

Arashloo, S.R.[Shervin Rahimzadeh], Kittler, J.V.[Josef V.], Christmas, W.J.[William J.],
Pose-invariant face recognition by matching on multi-resolution MRFs linked by supercoupling transform,
CVIU(115), No. 7, July 2011, pp. 1073-1083.
Elsevier DOI 1106
Face recognition; Pose-invariance; Image matching; Multi-resolution MRfs; Super-coupling transform BibRef

Arashloo, S.R.[Shervin Rahimzadeh], Kittler, J.V.[Josef V.],
Fast pose invariant face recognition using super coupled multiresolution Markov Random Fields on a GPU,
PRL(48), No. 1, 2014, pp. 49-59.
Elsevier DOI 1410
Multiresolution MRFs 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 Link. 0301
BibRef
And:
Wavelet-Based 2-Parameter Regularized Discriminant Analysis for Face Recognition,
AVBPA03(137-144).
Springer DOI 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 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 Link. 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 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 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).
Springer DOI 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 0508
BibRef
And:
A Novel One-Parameter Regularized Kernel Fisher Discriminant Method for Face Recognition,
IbPRIA05(II:67).
Springer DOI 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 0609
BibRef
And:
Face Classification based on Shannon Wavelet Kernel and Modified Fisher Criterion,
FGR06(467-474).
IEEE DOI 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 Link. 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 Link. 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 Link. 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 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.
Elsevier DOI 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 Link. 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 Link. 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 Link. 0310
BibRef
Earlier:
Boosting linear discriminant analysis for face recognition,
ICIP03(I: 657-660).
IEEE DOI 0312
BibRef
Earlier:
A Kernel Machine Based Approach for Multi-View Face Recognition,
ICIP02(I: 265-268).
IEEE DOI 0210
BibRef

Lu, J.W., Plataniotis, K.N.,
Boosting face recognition on a large-scale database,
ICIP02(II: 109-112).
IEEE DOI 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 Link. 0501
BibRef
Earlier:
Regularization studies on LDA for face recognition,
ICIP04(I: 63-66).
IEEE DOI 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 0903
Gaussian kernel; Kernel optimization; Pattern classification; Small sample size BibRef

Lu, H.P.[Hai-Ping], Plataniotis, K.N.[Konstantinos N.], Venetsanopoulos, A.N.[Anastasios N.],
A survey of multilinear subspace learning for tensor data,
PR(44), No. 7, July 2011, pp. 1540-1551.
Elsevier DOI 1103
Subspace learning; Dimensionality reduction; Feature extraction; Multidimensional data; Tensor; Multilinear; Survey; Taxonomy 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 Link. 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 Link. 0606
BibRef
Earlier: A1, A3, A2, A4:
Face Recognition: Combine Generic and Specific Solutions,
ICIAR05(1057-1064).
Springer DOI 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 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 Link. 0405
BibRef
Earlier: A1, A3, A2:
Real-Time Face Recognition using Gram-Schmidt Orthogonalization for LDA,
ICPR04(II: 403-406).
IEEE DOI 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 Link. 0608
Face recognition; Common vector approach; Kernel method BibRef

Song, F.X.[Feng-Xi], 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 Link. 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 Link. 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 Link. 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 Link. 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 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 Link. 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 Link. 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 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 Link. 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 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 Link. 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 Link. 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).
Springer DOI 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 Link. 0604
Special issue intro. 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 Link. 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 Link. 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 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 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 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 0709
BibRef

Zuo, W.M.[Wang-Meng], Meng, D.Y.[De-Yu], Zhang, L.[Lei], Feng, X.C.[Xiang-Chu], Zhang, D.[David],
A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding,
ICCV13(217-224)
IEEE DOI 1403
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 0701
BibRef
Earlier:
Discriminant Analysis with Tensor Representation,
CVPR05(I: 526-532).
IEEE DOI 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 0507
BibRef

Kan, M.[Meina], Wu, J.T.[Jun-Ting], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Domain Adaptation for Face Recognition: Targetize Source Domain Bridged by Common Subspace,
IJCV(109), No. 1-2, August 2014, pp. 94-109.
Springer DOI 1407
See also Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment. BibRef

Kan, M.[Meina], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Bi-Shifting Auto-Encoder for Unsupervised Domain Adaptation,
ICCV15(3846-3854)
IEEE DOI 1602
Adaptation models BibRef

Kan, M.[Meina], Shan, S.G.[Shi-Guang], Chang, H.[Hong], Chen, X.L.[Xi-Lin],
Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses,
CVPR14(1883-1890)
IEEE DOI 1409
Deep network See also Low-Resolution Face Recognition via Coupled Locality Preserving Mappings. BibRef

Kan, M.[Meina], Shan, S.G.[Shi-Guang], Xu, D.[Dong], Chen, X.L.[Xi-Lin],
Side-Information based Linear Discriminant Analysis for Face Recognition,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Su, Y.[Yu], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition,
IP(18), No. 8, August 2009, pp. 1885-1896.
IEEE DOI 0907
BibRef
Earlier: ICCV07(1-8).
IEEE DOI 0710
BibRef

Li, A., Shan, S.G.[Shi-Guang], Gao, W.[Wen],
Coupled Bias-Variance Tradeoff for Cross-Pose Face Recognition,
IP(21), No. 1, January 2012, pp. 305-315.
IEEE DOI 1112
See also High-Resolution Face Fusion for Gender Conversion. BibRef

Yan, S.Y.[Sheng-Ye], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin], Gao, W.[Wen], Chen, J.[Jie],
Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set,
CVPR07(1-7).
IEEE DOI 0706
BibRef

Ma, B.P.[Bing-Peng], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Discriminant analysis for perceptionally comparable classes,
FG08(1-6).
IEEE DOI 0809
BibRef

Li, Y.[Yi], Zhang, B.C.[Bao-Chang], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition,
ICPR06(III: 523-526).
IEEE DOI 0609
BibRef

Zhang, B.C.[Bao-Chang], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition,
AVBPA05(966).
Springer DOI 0509
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 Link. 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 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 Link. 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 Link. 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], Wang, H.Z.[Han-Zi], Suter, D.[David],
Multi-subregion based correlation filter bank for robust face recognition,
PR(47), No. 11, 2014, pp. 3487-3501.
Elsevier DOI 1407
Correlation filter bank 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 Link. 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 Link. 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 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 0910
BibRef

Givens, G.H.[Geof H.], Beveridge, J.R.[J. Ross], Draper, B.A.[Bruce A.], Bolme, D.S.[David S.],
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Wang, T.S.[Tie-Sheng], Shi, P.F.[Peng-Fei],
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PRL(30), No. 13, 1 October 2009, pp. 1161-1165.
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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],
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Elsevier DOI 0909
Piecewise linear decision boundary; Face recognition; Linear discriminant analysis; Elemental direction preserving discriminant analysis BibRef

Zhang, S.Q.[Shi-Qing],
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Elsevier DOI 0909
Dimensionality reduction; Supervised locally linear embedding; Face recognition BibRef

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JVCIR(20), No. 8, November 2009, pp. 608-613.
Elsevier DOI 0911
Message passing; Affinity propagation; Representative face image; Face recognition; Linear discriminant analysis (LDA) BibRef

Kim, S.W.[Sang-Woon],
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PRL(31), No. 6, 15 April 2010, pp. 462-468.
Elsevier DOI 1004
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On Optimizing Subclass Discriminant Analysis Using a Pre-clustering Technique,
CIARP08(292-300).
Springer DOI 0809
See also On using prototype reduction schemes to optimize dissimilarity-based classification. Dimensionality reduction; Subclass discriminant analysis (SDA); Linear discriminant analysis (LDA); Pre-clustering technique BibRef

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Springer DOI 0711
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Cheng, M., Fang, B., Tang, Y.Y., Zhang, T., Wen, J.,
Incremental Embedding and Learning in the Local Discriminant Subspace With Application to Face Recognition,
SMC-C(40), No. 5, September 2010, pp. 580-591.
IEEE DOI 1008
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Shen, C.H.[Chun-Hua], Paisitkriangkrai, S.[Sakrapee], Zhang, J.[Jian],
Efficiently Learning a Detection Cascade With Sparse Eigenvectors,
IP(20), No. 1, January 2011, pp. 22-35.
IEEE DOI 1101
BibRef
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CVPR09(1129-1136).
IEEE DOI 0906
Boosted Greedy Sparse Linear Discriminant Analysis (BGSLDA). Face recognition. BibRef

Paisitkriangkrai, S.[Sakrapee], Shen, C.H.[Chun-Hua], Zhang, J.[Jian],
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IP(20), No. 1, January 2011, pp. 213-226.
IEEE DOI 1101
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Earlier:
Face Detection with Effective Feature Extraction,
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Springer DOI 1011
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Paisitkriangkrai, S., Shen, C.H.[Chun-Hua], van den Hengel, A.J.,
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IEEE DOI 1410
computer vision BibRef

Lei, Z.[Zhen], Li, S.Z.[Stan Z.],
Contextual constraints based linear discriminant analysis,
PRL(32), No. 4, 1 March 2011, pp. 626-632.
Elsevier DOI 1102
Contextual constraint; Discriminant analysis; Face recognition BibRef

Qiao, L.S.[Li-Shan], Chen, S.C.[Song-Can], Tan, X.Y.[Xiao-Yang],
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PR(43), No. 1, January 2010, pp. 331-341.
Elsevier DOI 0909
Dimensionality reduction; Sparse representation; Compressive sensing; Face recognition BibRef

Qiao, L.S.[Li-Shan], Chen, S.C.[Song-Can], Tan, X.Y.[Xiao-Yang],
Sparsity preserving discriminant analysis for single training image face recognition,
PRL(31), No. 5, 1 April 2010, pp. 422-429.
Elsevier DOI 1002
Linear discriminant analysis; Semi-supervised discriminant analysis; Sparse representation; Graph construction BibRef

Ksantini, R.[Riadh], Boufama, B.S.[Boubaker S.], Ziou, D.[Djemel], Colin, B.[Bernard],
A novel Bayesian logistic discriminant model: An application to face recognition,
PR(43), No. 4, April 2010, pp. 1421-1430.
Elsevier DOI 1002
Linear discriminant analysis; Logistic regression; Bayesian theory; Variational method; Mixture of Gaussians; Small sample size problem; Face recognition BibRef

Ksantini, R.[Riadh], Boufama, B.S.[Boubaker S.],
A Novel Bayesian Logistic Discriminant Model with Dirichlet Distributions: An Application to Face Recognition,
ICIAR09(461-470).
Springer DOI 0907
See also Weighted Pseudometric Discriminatory Power Improvement Using a Bayesian Logistic Regression Model Based on a Variational Method. BibRef

Gu, Z.H.[Zheng-Hong], Yang, J.[Jian], Zhang, L.[Lei],
Push-Pull marginal discriminant analysis for feature extraction,
PRL(31), No. 15, 1 November 2010, pp. 2345-2352.
Elsevier DOI 1003
Feature extraction; Linear discriminant analysis; Nonparametric methods; Classification BibRef

Gu, Z.H.[Zheng-Hong], Yang, J.[Jian],
Sparse margin based discriminant analysis for face recognition,
ICIP10(1669-1672).
IEEE DOI 1009
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Chen, X.B.[Xiao-Bo], Yang, J.[Jian], Yang, W.K.[Wan-Kou],
Large margin null space discriminant analysis with applications to face recognition,
ICPR12(1679-1682).
WWW Link. 1302
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Yang, J.[Jian], Gu, Z.H.[Zheng-Hong], Yang, J.Y.[Jing-Yu],
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ICIP09(3297-3300).
IEEE DOI 0911
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Ye, Q.L., Zhao, C.X., Zhang, H.F., Chen, X.B.,
Recursive 'concave-convex' Fisher Linear Discriminant with applications to face, handwritten digit and terrain recognition,
PR(45), No. 1, January 2012, pp. 54-65.
Elsevier DOI 1109
Fisher Linear Discriminant; Extracting features; Recursive concave-convex dimension reduction BibRef

Khan, N.M., Ksantini, R.[Riadh], Ahmad, I.S., Boufama, B.S.[Boubaker S.],
A novel SVM+NDA model for classification with an application to face recognition,
PR(45), No. 1, January 2012, pp. 66-79.
Elsevier DOI 1109
Linear discriminant analysis (LDA); Nonparametric discriminant analysis (NDA); Support vector machines (SVM); Kernel NDA and SVM; Small sample size problem; Face recognition BibRef

Shu, X.[Xin], Gao, Y.[Yao], Lu, H.T.[Hong-Tao],
Efficient linear discriminant analysis with locality preserving for face recognition,
PR(45), No. 5, May 2012, pp. 1892-1898.
Elsevier DOI 1201
Face recognition; Spectral regression; Linear discriminant analysis; Locality preserving projection BibRef

Lu, G.F.[Gui-Fu], Zou, J.[Jian], Wang, Y.[Yong],
Incremental complete LDA for face recognition,
PR(45), No. 7, July 2012, pp. 2510-2521.
Elsevier DOI 1203
Face recognition; Feature extraction; Dimensionality reduction; Small sample size problem; Incremental learning BibRef

Huang, W.L.[Wei-Lin], Yin, H.J.[Hu-Jun],
On nonlinear dimensionality reduction for face recognition,
IVC(30), No. 4-5, May 2012, pp. 355-366.
Elsevier DOI 1206
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Earlier:
Linear and nonlinear dimensionality reduction for face recognition,
ICIP09(3337-3340).
IEEE DOI 0911
Dimensionality reduction; Nonlinear manifold; Subspace learning; Principal component analysis; Feature representation; Face recognition See also Robust face recognition with structural binary gradient patterns. BibRef

Gao, Q.X.[Quan-Xue], Ma, J.J.[Jing-Jie], Zhang, H.L.[Hai-Lin], Gao, X.B.[Xin-Bo], Liu, Y.M.[Ya-Min],
Stable Orthogonal Local Discriminant Embedding for Linear Dimensionality Reduction,
IP(22), No. 7, 2013, pp. 2521-2531.
IEEE DOI 1307
Discriminant analysis; face recognition BibRef

El Shafey, L., McCool, C., Wallace, R., Marcel, S.,
A Scalable Formulation of Probabilistic Linear Discriminant Analysis: Applied to Face Recognition,
PAMI(35), No. 7, 2013, pp. 1788-1794.
IEEE DOI 1307
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Pattern recognition BibRef

Zhao, X.[Xuran], Evans, N.[Nicholas], Dugelay, J.L.[Jean-Luc],
A subspace co-training framework for multi-view clustering,
PRL(41), No. 1, 2014, pp. 73-82.
Elsevier DOI 1403
BibRef
Earlier:
Semi-supervised face recognition with LDA self-training,
ICIP11(3041-3044).
IEEE DOI 1201
Multi-view clustering BibRef

Qu, X.C.[Xiao-Chao], Kim, S.[Suah], Cui, R.[Run], Kim, H.J.[Hyoung Joong],
Linear collaborative discriminant regression classification for face recognition,
JVCIR(31), No. 1, 2015, pp. 312-319.
Elsevier DOI 1508
Face recognition BibRef

Qu, X.C.[Xiao-Chao], Kim, S.[Suah], Atnafu, D.[Dessalegn], Kim, H.J.[Hyoung Joong],
Weighted sparse representation using a learned distance metric for face recognition,
ICIP15(4594-4598)
IEEE DOI 1512
Face Recognition BibRef

Lin, C., Wang, B., Fan, X., Ma, Y., Liu, H.,
Orthogonal enhanced linear discriminant analysis for face recognition,
IET-Bio(5), No. 2, 2016, pp. 100-110.
DOI Link 1606
face recognition BibRef


Zhou, T.[Tianfei], Lu, Y.[Yao], Zhang, Y.[Yanan],
Graph regularized discriminant analysis and its application to face recognition,
ICIP15(2020-2024)
IEEE DOI 1512
Linear Discriminant Analysis BibRef

Wijaya, I.G.P.S.[I Gede Pasek Suta], Widiartha, I.B.K., Uchimura, K.[Keiichi], Koutaki, G.[Gou],
Phonographic image recognition using fusion of scale invariant descriptor,
FCV15(1-5)
IEEE DOI 1506
BibRef
Earlier: A1, A3, A4, Only:
Multi pose face recognition using double stages classifications: SMLDA and fusion of scale invariant features,
FCV13(143-148).
IEEE DOI 1304
image recognition. shifting mean LDA, and FSIF BibRef

Ying, Y.[Ying], Wang, H.[Han],
A Novel Probabilistic Linear Subspace Approach for Face Applications,
CIAP11(I: 257-266).
Springer DOI 1109
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Wijaya, I.G.P.S.[I Gede Pasek Suta], Uchimura, K.[Keiichi], Koutaki, G.[Gou],
Human face security system using alternative linear discriminant analysis based classifier,
FCV11(1-6).
IEEE DOI 1102
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Earlier:
Fast and Robust Face Recognition for Incremental Data,
Subspace10(414-423).
Springer DOI 1109
See also 3D Face Recognition Using Multi-level Multi-feature Fusion. BibRef

Koutaki, G.[Gou], Uchimura, K.[Keiichi],
Scale-space filtering using a piecewise polynomial representation,
ICIP14(2918-2922)
IEEE DOI 1502
BibRef
Earlier:
Scale-space compression and its application using spectral theory,
ICIP13(820-823)
IEEE DOI 1402
BibRef
Earlier:
Robust and high accurate pattern matching using eigen decomposed templates,
FCV11(1-4).
IEEE DOI 1102
Approximation methods BibRef

Yata, K.[Koushiro], Koutaki, G.[Gou], Uchimura, K.[Keiichi],
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Liu, Z.H.[Zhong-Hua], Zhou, J.B.[Jing-Bo], Jin, Z.[Zhong],
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IEEE DOI 1008
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Zhong, D.X.[De-Xing], Han, J.Q.[Jiu-Qiang], Liu, Y.L.[Yong-Li],
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IEEE DOI 0910
Faces. BibRef

Wang, G.Q.[Guo-Qiang], Shi, N.F.[Nian-Feng], Hou, X.J.[Xiao-Jing],
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IEEE DOI 0910
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Geng, Y.L.[Yan-Lin], Shan, C.F.[Cai-Feng], Hao, P.W.[Peng-Wei],
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IEEE DOI 0906
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Fan, B.[Bin], Lei, Z.[Zhen], Li, S.Z.[Stan Z.],
Normalized LDA for semi-supervised learning,
FG08(1-6).
IEEE DOI 0809
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Berkovich, E.[Erez], Pratt, H.[Hillel], Gur, M.[Moshe],
Face Recognition with Biologically Motivated Boosted Features,
CogVis08(1-13).
Springer DOI 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 0812
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Wang, Z.[Zhenger], Ding, X.Q.[Xiao-Qing], Fang, C.[Chi],
Pose adaptive LDA based face recognition,
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IEEE DOI 0812
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Chougdali, K.[Khalid], Jedra, M.[Mohamed], Zahid, N.[Noureddine],
Kernel Weighted Scatter-Difference-Based Discriminant Analysis for Face Recognition,
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Springer DOI 0806
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Moghaddam, B.[Baback], Weiss, Y.[Yair], Avidan, S.[Shai],
Fast Pixel/Part Selection with Sparse Eigenvectors,
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IEEE DOI 0710
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Moghaddam, B.[Baback], Weiss, Y.[Yair], Avidan, S.[Shai],
Generalized Spectral Bounds for Sparse LDA,
ICML06(xx-yy). Sparse-LDA approach. BibRef 0600

Moghaddam, B.[Baback], Weiss, Y.[Yair], Avidan, S.[Shai],
Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms,
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Huang, L.[Liang], Ma, Y.[Yong], Ijiri, Y.[Yoshihisa], Lao, S.H.[Shi-Hong], Kawade, M.[Masato], Zhao, Y.M.[Yu-Ming],
An Adaptive Nonparametric Discriminant Analysis Method and Its Application to Face Recognition,
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Springer DOI 0711
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Hiremath, P.S., Prabhakar, C.J.,
Face Recognition Using Symbolic KPCA Plus Symbolic LDA in the Framework of Symbolic Data Analysis: Symbolic Kernel Fisher Discriminant Method,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef
Earlier:
Face Recognition Technique Using Symbolic Linear Discriminant Analysis Method,
ICCVGIP06(641-649).
Springer DOI 0612
BibRef

Cho, D.U.[Dong-Uk], Chang, U.D.[Un-Dong], Kim, K.D.[Kwan-Dong], Kim, B.H.[Bong-Hyun], Lee, S.H.[Se-Hwan],
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Springer DOI 0612
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An, G.Y.[Gao-Yun], Ruan, Q.Q.[Qiu-Qi],
Novel Mathematical Model for Enhanced Fisher's Linear Discriminant and Its Application to Face Recognition,
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IEEE DOI 0609
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Chen, C.K.[Cai-Kou], Yang, J.Y.[Jing-Yu],
Discriminant Transform Based on Scatter Difference Criterion in Hidden Space,
IWICPAS06(144-151).
Springer DOI 0608
For faces. Map image with transform. BibRef

Kong, H.[Hui], Li, X.C.[Xu-Chun], Wang, J.G.[Jian-Gang], Kambhamettu, C.[Chandra],
Ensemble LDA for Face Recognition,
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Springer DOI 0601
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Wang, J.G.[Jian-Gang], Kong, H.[Hui], Yau, W.Y.[Wei-Yun],
Bilateral Two Dimensional Linear Discriminant Analysis for Stereo Face Recognition,
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IEEE DOI 0609
BibRef

Huang, J.[Jian], Yuen, P.C., Chen, W.S.[Wen-Sheng], Lai, J.H.,
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AFGR04(327-332).
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Liu, H.C.[Hsien-Chang], Su, C.H.[Chan-Hung], Chiang, Y.H.[Yueh-Hsuan], Hung, Y.P.[Yi-Ping],
Personalized face verification system using owner-specific cluster-dependent LDA-subspace,
ICPR04(IV: 344-347).
IEEE DOI 0409
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Yang, Q.[Qiong], Ding, X.Q.[Xiao-Qing], Chen, Z.G.[Zhen-Gang],
Discriminant local feature analysis of facial images,
ICIP03(II: 863-866).
IEEE DOI 0312
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Kucharski, K.[Krzysztof], Skarbek, W.[Wladyslaw], Bober, M.[Miroslaw],
Dual LDA: An effective feature space reduction method for face recognition,
AVSBS05(336-341).
IEEE DOI 0602
BibRef
And:
Feature Space Reduction for Face Recognition with Dual Linear Discriminant Analysis,
CAIP05(587).
Springer DOI 0509
BibRef

Bober, M.[Miroslaw], Kucharski, K.[Krzysztof], Skarbek, W.[Wladyslaw],
Face Recognition by Fisher and Scatter Linear Discriminant Analysis,
CAIP03(638-645).
Springer DOI 0311
BibRef

Skarbek, W.[Wladyslaw],
Merging Subspace Models for Face Recognition,
CAIP03(606-613).
Springer DOI 0311
BibRef

Qiu, X.P.[Xi-Peng], Wu, L.D.[Li-De],
Face Recognition by Stepwise Nonparametric Margin Maximum Criterion,
ICCV05(II: 1567-1572).
IEEE DOI 0510
BibRef
And:
Nonparametric Maximum Margin Criterion for Face Recognition,
ICIP05(II: 918-921).
IEEE DOI 0512
BibRef
And:
Null Space-Based LDA Withweighted Dual Personal Subspaces for Face Recognition,
ICIP05(II: 934-937).
IEEE DOI 0512
BibRef

Chen, L.[Ling], Man, H.[Hong],
Discriminant analysis of stochastic models and its application to face recognition,
AMFG03(5-10).
IEEE Abstract. 0311
BibRef

Yu, B.[Bing], Jin, L.F.[Lian-Fu], Chen, P.[Ping],
A new LDA-based method for face recognition,
ICPR02(I: 168-171).
IEEE DOI 0211
BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Singular Value Decompostion, SVD in Face Recognition .


Last update:May 25, 2017 at 22:18:08