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.
Elsevier DOI
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.
Elsevier DOI
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 DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
0405
BibRef
Chen, S.C.[Song-Can],
Zhang, D.Q.[Dao-Qiang],
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.
Elsevier DOI
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.
Elsevier DOI 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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.H.[Yun-Hui],
Zhao, L.[Li],
Zou, C.R.[Cai-Rong],
Face recognition using common faces method,
PR(39), No. 11, November 2006, pp. 2218-2222.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI 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.
Elsevier DOI
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.
Elsevier DOI 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.
Elsevier DOI
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
Han, C.[Chunrui],
Shan, S.G.[Shi-Guang],
Kan, M.[Meina],
Wu, S.[Shuzhe],
Chen, X.L.[Xi-Lin],
Face Recognition with Contrastive Convolution,
ECCV18(IX: 120-135).
Springer DOI
1810
BibRef
Wu, W.L.[Wang-Long],
Kan, M.[Meina],
Liu, X.[Xin],
Yang, Y.[Yi],
Shan, S.G.[Shi-Guang],
Chen, X.L.[Xi-Lin],
Recursive Spatial Transformer (ReST) for Alignment-Free Face
Recognition,
ICCV17(3792-3800)
IEEE DOI
1802
face recognition, feature extraction,
learning (artificial intelligence), neural nets, CNN,
Transforms
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
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.
Elsevier DOI
0810
Feature extraction; Dimensionality reduction; Manifold learning;
Locally linear embedding; Face recognition
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
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
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
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
0911
Message passing; Affinity propagation; Representative face image; Face
recognition; Linear discriminant analysis (LDA)
BibRef
Kim, S.W.[Sang-Woon],
A pre-clustering technique for optimizing subclass discriminant
analysis,
PRL(31), No. 6, 15 April 2010, pp. 462-468.
Elsevier DOI
1004
BibRef
Earlier:
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
Kim, S.W.[Sang-Woon],
Duin, R.P.W.[Robert P.W.],
On Using a Pre-clustering Technique to Optimize LDA-Based Classifiers
for Appearance-Based Face Recognition,
CIARP07(466-476).
Springer DOI
0711
BibRef
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
BibRef
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
Earlier: A2, A1, A3:
Efficiently training a better visual detector with sparse eigenvectors,
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],
Incremental Training of a Detector Using Online Sparse
Eigendecomposition,
IP(20), No. 1, January 2011, pp. 213-226.
IEEE DOI
1101
BibRef
Earlier:
Face Detection with Effective Feature Extraction,
ACCV10(III: 460-470).
Springer DOI
1011
BibRef
Paisitkriangkrai, S.,
Shen, C.H.[Chun-Hua],
van den Hengel, A.J.,
Large-Margin Learning of Compact Binary Image Encodings,
IP(23), No. 9, September 2014, pp. 4041-4054.
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],
Sparsity preserving projections with applications to face recognition,
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
BibRef
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
BibRef
Yang, J.[Jian],
Gu, Z.H.[Zheng-Hong],
Yang, J.Y.[Jing-Yu],
A geometrically intuitive marginal discriminant analysis method with
application to face recognition,
ICIP09(3297-3300).
IEEE DOI
0911
BibRef
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
BibRef
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
expectation-maximisation algorithm; speaker recognition
BibRef
Marcel, S.,
A symmetric transformation for LDA-based face verification,
AFGR04(207-212).
IEEE DOI
0411
BibRef
Gan, H.T.[Hai-Tao],
Sang, N.[Nong],
Huang, R.[Rui],
Self-training-based face recognition using semi-supervised linear
discriminant analysis and affinity propagation,
JOSA-A(31), No. 1, January 2014, pp. 1-6.
DOI Link
1402
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
Hu, L.C.[Liang-Chen],
Zhang, W.[Wensheng],
Orthogonal neighborhood preserving discriminant analysis with patch
embedding for face recognition,
PR(106), 2020, pp. 107450.
Elsevier DOI
2006
Neighborhood preserving, Inter-class separability,
Orthogonal projection, Patch alignment, Face recognition
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
BibRef
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
BibRef
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],
Image matching by eigen template method for multi-class
classification,
FCV15(1-4)
IEEE DOI
1506
eigenvalues and eigenfunctions
BibRef
Koutaki, G.[Gou],
Yata, K.[Koushiro],
Uchimura, K.[Keiichi],
Kan, M.[Michiaki],
Asai, D.[Daisuke],
Takeba, M.[Makoto],
Fast and high accuracy pattern matching using multi-stage refining
eigen template,
FCV13(58-63).
IEEE DOI
1304
BibRef
Nhat, V.D.M.[Vo Dinh Minh],
Lee, S.Y.[Sung Young],
Youn, H.Y.[Hee Yong],
Whitened LDA for face recognition,
CIVR07(234-241).
DOI Link
0707
BibRef
Liu, Z.H.[Zhong-Hua],
Zhou, J.B.[Jing-Bo],
Jin, Z.[Zhong],
Face Recognition Based on Illumination Adaptive LDA,
ICPR10(894-897).
IEEE DOI
1008
BibRef
Zhong, D.X.[De-Xing],
Han, J.Q.[Jiu-Qiang],
Liu, Y.L.[Yong-Li],
Bilinear Neighborhood Discriminant Embedding and Its Non-Iterative
Solution Algorithm,
CISP09(1-5).
IEEE DOI
0910
Faces.
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
0910
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
0906
BibRef
Fan, B.[Bin],
Lei, Z.[Zhen],
Li, S.Z.[Stan Z.],
Normalized LDA for semi-supervised learning,
FG08(1-6).
IEEE DOI
0809
BibRef
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
BibRef
Wang, Z.[Zhenger],
Ding, X.Q.[Xiao-Qing],
Fang, C.[Chi],
Pose adaptive LDA based face recognition,
ICPR08(1-4).
IEEE DOI
0812
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
0806
BibRef
Moghaddam, B.[Baback],
Weiss, Y.[Yair],
Avidan, S.[Shai],
Fast Pixel/Part Selection with Sparse Eigenvectors,
ICCV07(1-8).
IEEE DOI
0710
BibRef
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,
NIPS06(xx-yy).
BibRef
0600
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,
ACCV07(II: 680-689).
Springer DOI
0711
BibRef
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],
(2D)2 DLDA for Efficient Face Recognition,
PSIVT06(314-321).
Springer DOI
0612
BibRef
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,
ICPR06(II: 524-527).
IEEE DOI
0609
BibRef
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,
ICB06(166-172).
Springer DOI
0601
BibRef
Wang, J.G.[Jian-Gang],
Kong, H.[Hui],
Yau, W.Y.[Wei-Yun],
Bilateral Two Dimensional Linear Discriminant Analysis for Stereo Face
Recognition,
ICPR06(I: 429-432).
IEEE DOI
0609
BibRef
Huang, J.[Jian],
Yuen, P.C.,
Chen, W.S.[Wen-Sheng],
Lai, J.H.,
Kernel subspace LDA with optimized kernel parameters on face
recognition,
AFGR04(327-332).
IEEE DOI
0411
BibRef
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
BibRef
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
BibRef
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 DOI
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 .