13.4.1.10.4 Other Invariants in Face Recognition, General Invariants, Sparse Representations

Kirby, M., and Sirovich, L.,
Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces,
PAMI(12), No. 1, January 1990, pp. 103-108.
IEEE DOI Application, Faces. BibRef 9001

Sirovich, L., and Kirby, M.,
Low Dimensional Procedure for the Characterization of Human Faces,
JOSA-A(4), No. 3, 1987, pp. 519-524. BibRef 8700

Shan, S.G.[Shi-Guang], Gao, W.[Wen], Zhao, D.B.[De-Bin],
Face recognition based on face-specific subspace,
IJIST(13), No. 1, 2003, pp. 23-32.
DOI Link 0308

See also comparative study on illumination preprocessing in face recognition, A. BibRef

Yan, S.Y.[Sheng-Ye], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Fea-Accu cascade for face detection,
ICIP09(1217-1220).
IEEE DOI 0911

See also Granularity-tunable gradients partition (GGP) descriptors for human detection. BibRef

Chen, J.[Jie], Chen, X.L.[Xi-Lin], Yang, J.[Jie], Shan, S.G.[Shi-Guang], Wang, R.P.[Rui-Ping], Gao, W.[Wen],
Optimization of a training set for more robust face detection,
PR(42), No. 11, November 2009, pp. 2828-2840.
Elsevier DOI 0907
Resampling; Genetic algorithm; Manifold; Face detection BibRef

Wang, W.[Wen], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Probabilistic nearest neighbor search for robust classification of face image sets,
FG15(1-7)
IEEE DOI 1508
face recognition BibRef

Toygar, Ö.[Önsen], Acan, A.[Adnan],
Multiple classifier implementation of a divide-and-conquer approach using appearance-based statistical methods for face recognition,
PRL(25), No. 12, September 2004, pp. 1421-1430.
Elsevier DOI 0409
BibRef

Franco, A.[Annalisa], Lumini, A.[Alessandra], Maio, D.[Dario], Nanni, L.[Loris],
An enhanced subspace method for face recognition,
PRL(27), No. 1, 1 January 2006, pp. 76-84.
Elsevier DOI 0512
BibRef
Earlier: A1, A2, A3, Only:
Eigenspace merging for model updating,
ICPR02(II: 156-159).
IEEE DOI 0211
BibRef

Franco, A.[Annalisa], Maio, D.[Dario], Maltoni, D.[Davide],
2D face recognition based on supervised subspace learning from 3D models,
PR(41), No. 12, December 2008, pp. 3822-3833.
Elsevier DOI 0810
Face recognition; 3D face models; Subspace learning BibRef

Franco, A.[Annalisa], Maio, D.[Dario], Maltoni, D.[Davide],
Incremental template updating for face recognition in home environments,
PR(43), No. 8, August 2010, pp. 2891-2903.
Elsevier DOI 1006
Template updating; Video-based face recognition; Home environment; Subspace learning BibRef

Nanni, L.[Loris], Lumini, A.[Alessandra],
RegionBoost learning for 2D+3D based face recognition,
PRL(28), No. 15, 1 November 2007, pp. 2063-2070.
Elsevier DOI 0711
Face recognition; Machine learning; Classification. Boosting.
See also multi-expert approach for wavelet-based face detection, A.
See also clustering method for automatic biometric template selection, A.
See also Fusion of color spaces for ear authentication. BibRef

Zhao, H.T.[Hai-Tao], Sun, S.Y.[Shao-Yuan], Jing, Z.L.[Zhong-Liang], Yang, J.Y.[Jing-Yu],
Local structure based supervised feature extraction,
PR(39), No. 8, August 2006, pp. 1546-1550.
Elsevier DOI 0606
Locally discriminating projection (LDP) utilizes class information to guide the procedure of feature extraction. Feature extraction; Supervised learning; Locality preserving projection BibRef

Cai, D.[Deng], He, X.F.[Xiao-Fei], Han, J., Zhang, H.J.[Hong-Jiang],
Orthogonal Laplacianfaces for Face Recognition,
IP(15), No. 11, November 2006, pp. 3608-3614.
IEEE DOI 0610
BibRef

Cai, D.[Deng], He, X.F.[Xiao-Fei], Han, J.W.[Jia-Wei], Huang, T.S.[Thomas S.],
Graph Regularized Nonnegative Matrix Factorization for Data Representation,
PAMI(33), No. 8, August 2011, pp. 1548-1560.
IEEE DOI 1107
NNMF. BibRef

Yang, Y.Z.[Ying-Zhen], Wang, Z.Y.[Zhang-Yang], Yang, J.C.[Jian-Chao], Han, J.W.[Jia-Wei], Huang, T.S.[Thomas S.],
Regularized L1-Graph for Data Clustering,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Cai, D.[Deng], He, X.F.[Xiao-Fei], Han, J.W.[Jia-Wei],
Spectral Regression for Efficient Regularized Subspace Learning,
ICCV07(1-8).
IEEE DOI 0710
BibRef
And:
Semi-supervised Discriminant Analysis,
ICCV07(1-7).
IEEE DOI 0710
BibRef

Zhang, L.J.[Li-Jun], Chen, C.[Chun], Bu, J.J.[Jia-Jun], Cai, D.[Deng], He, X.F.[Xiao-Fei], Huang, T.S.[Thomas S.],
Active Learning Based on Locally Linear Reconstruction,
PAMI(33), No. 10, October 2011, pp. 2026-2038.
IEEE DOI 1109
Select most representation points. BibRef

Cai, D.[Deng], He, X.F.[Xiao-Fei], Hu, Y.X.[Yu-Xiao], Han, J.W.[Jia-Wei], Huang, T.S.[Thomas S.],
Learning a Spatially Smooth Subspace for Face Recognition,
CVPR07(1-7).
IEEE DOI 0706
BibRef

Sun, X.C.[Xi-Chen], Wang, L.W.[Li-Wei], Feng, J.F.[Ju-Fu],
Further results on the subspace distance,
PR(40), No. 1, January 2007, pp. 328-329.
Elsevier DOI 0611
Subspace distance; Face recognition
See also Subspace distance analysis with application to adaptive Bayesian algorithm for face recognition. BibRef

Kim, C.[Chunghoon], Choi, C.H.[Chong-Ho],
Image covariance-based subspace method for face recognition,
PR(40), No. 5, May 2007, pp. 1592-1604.
Elsevier DOI 0702
Face recognition; Subspace method; Image covariance matrix; Windowed feature; Principal component analysis; Linear discriminant analysis BibRef

Kim, C.[Chunghoon], Choi, C.H.[Chong-Ho],
A discriminant analysis using composite features for classification problems,
PR(40), No. 11, November 2007, pp. 2958-2966.
Elsevier DOI 0707
Classification; Feature extraction; Composite feature; Linear discriminant analysis; Chernoff distance; Nonparametric discriminant analysis BibRef

Choi, S.I.[Sang-Il], Choi, C.H.[Chong-Ho], Jeong, G.M.[Gu-Min], Kwak, N.[Nojun],
Pixel selection based on discriminant features with application to face recognition,
PRL(33), No. 9, 1 July 2012, pp. 1083-1092.
Elsevier DOI 1202
BibRef
Earlier: A1, A2, A3, Only:
Pixel selection in a face image based on discriminant features for face recognition,
FG08(1-6).
IEEE DOI 0809
Face recognition; Pixel selection; Illumination variation; Expression variation; Linear discriminant analysis BibRef

Faundez-Zanuy, M.[Marcos], Roure, J.[Josep], Espinosa-Duro, V.[Virginia], Ortega, J.A.[Juan Antonio],
An efficient face verification method in a transformed domain,
PRL(28), No. 7, May 2007, pp. 854-858.
Elsevier DOI 0703
Face verification; Transform methods; Biometrics Walsh-Hadamard transform. BibRef

Fan, W.[Wei], Yeung, D.Y.[Dit-Yan],
Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification,
CVPR06(II: 1384-1390).
IEEE DOI 0606
BibRef
And:
Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds,
FGR06(177-182).
IEEE DOI 0604
BibRef

Zhang, L.M.[Li-Mei], Qiao, L.S.[Li-Shan], Chen, S.C.[Song-Can],
Graph-optimized locality preserving projections,
PR(43), No. 6, June 2010, pp. 1993-2002.
Elsevier DOI 1003
Dimensionality reduction; Locality preserving projections; Graph construction; Generalized entropy; Face recognition BibRef

Xu, D.[Dong], Lin, S.[Stephen], Yan, S.C.[Shui-Cheng], Tang, X.[Xiaoou],
Rank-One Projections With Adaptive Margins for Face Recognition,
SMC-B(37), No. 5, October 2007, pp. 1226-1236.
IEEE DOI 0711
BibRef
Earlier: CVPR06(I: 175-181).
IEEE DOI 0606
BibRef

Wong, K.C.[Kin-Chung], Lin, W.Y.[Wei-Yang], Hu, Y.H.[Yu Hen], Boston, N.[Nigel], Zhang, X.,
Optimal Linear Combination of Facial Regions for Improving Identification Performance,
SMC-B(37), No. 5, October 2007, pp. 1138-1148.
IEEE DOI 0711
BibRef

Lin, W.Y.[Wei-Yang], Wong, K.C.[Kin-Chung], Boston, N.[Nigel], Hu, Y.H.[Yu Hen],
Fusion of Summation Invariants in 3D Human Face Recognition,
CVPR06(II: 1369-1376).
IEEE DOI 0606
BibRef

Yan, S.C.[Shui-Cheng], Liu, J.Z.[Jian-Zhuang], Tang, X.[Xiaoou], Huang, T.S.[Thomas S.],
Formulating Face Verification With Semidefinite Programming,
IP(16), No. 11, November 2007, pp. 2802-2810.
IEEE DOI 0709
For subspace learning address: selection of verification threshold, automatic determination of subspace dimension, and deducing feature fusing weights BibRef

Yan, S.C.[Shui-Cheng], Wang, H., Liu, J.Z.[Jian-Zhuang], Tang, X.[Xiaoou], Huang, T.S.[Thomas S.],
Misalignment-Robust Face Recognition,
IP(19), No. 4, April 2010, pp. 1087-1096.
IEEE DOI 1003
BibRef

Lin, D.[Dahua], Yan, S.C.[Shui-Cheng], Tang, X.[Xiaoou],
Pursuing Informative Projection on Grassmann Manifold,
CVPR06(II: 1727-1734).
IEEE DOI 0606
BibRef
Earlier:
Comparative Study: Face Recognition on Unspecific Persons using Linear Subspace Methods,
ICIP05(III: 764-767).
IEEE DOI 0512
BibRef
And:
Feedback-based Dynamic Generalized LDA for Face Recognition,
ICIP05(II: 922-925).
IEEE DOI 0512
BibRef

Liu, W.[Wei], Li, Z.F.[Zhi-Feng], Tang, X.[Xiaoou],
Spatio-temporal Embedding for Statistical Face Recognition from Video,
ECCV06(II: 374-388).
Springer DOI 0608
BibRef

Li, Z.F.[Zhi-Feng], Lin, D.[Dahua], Tang, X.[Xiaoou],
Nonparametric Discriminant Analysis for Face Recognition,
PAMI(31), No. 4, April 2009, pp. 755-761.
IEEE DOI 0903
NDA and multi-classifier integration. BibRef

Li, Z.F.[Zhi-Feng], Lin, D.[Dahua], Meng, H.[Helen], Tang, X.[Xiaoou],
Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition,
CVPR07(1-6).
IEEE DOI 0706
BibRef

Li, Z.F.[Zhi-Feng], Liu, W.[Wei], Lin, D.[Dahua], Tang, X.[Xiaoou],
Nonparametric Subspace Analysis for Face Recognition,
CVPR05(II: 961-966).
IEEE DOI 0507
BibRef

Lin, D.[Dahua], Tang, X.[Xiaoou],
Inter-modality Face Recognition,
ECCV06(IV: 13-26).
Springer DOI 0608
BibRef

Yoon, K.[Kyongil], Harwood, D.A.[David A.], Davis, L.S.[Larry S.],
Appearance-based person recognition using color/path-length profile,
JVCIR(17), No. 3, June 2006, pp. 605-622.
Elsevier DOI 0711
Profiles. Person recognition; Color/path-length; Appearance; Kernel density estimation; Kullback-Leibler distance BibRef

Kannan, A.[Anitha], Jojic, N.[Nebojsa], Frey, B.J.[Brendan J.],
Fast Transformation-Invariant Component Analysis,
IJCV(77), No. 1-3, May 2008, pp. 87-101.
Springer DOI 0803
BibRef
Earlier: A2, A3, A1:
Epitomic analysis of appearance and shape,
ICCV03(34-41).
IEEE DOI 0311
BibRef

Jojic, N.[Nebojsa], Simard, P.Y.[Patrice Y.], Frey, B.J.[Brendan J.], Heckerman, D.[David],
Separating Appearance from Deformation,
ICCV01(II: 288-294).
IEEE DOI 0106
Examples on digits and faces. BibRef

Ciocoiu, I.B.[Iulian B.], Costin, H.N.[Hariton N.],
Localized versus Locality-Preserving Subspace Projections for Face Recognition,
JIVP(2007), 2007, pp. xx-yy.
DOI Link 0804
BibRef

Zhang, T., Fang, B., Tang, Y.Y., He, G., Wen, J.,
Topology Preserving Non-negative Matrix Factorization for Face Recognition,
IP(17), No. 4, April 2008, pp. 574-584.
IEEE DOI 0803
BibRef

Inoue, A.[Akira], Sato, A.[Atsushi],
Face Recognition Based on Mutual Projection of Feature Distributions,
IEICE(E91-D), No. 7, July 2008, pp. 1878-1884.
DOI Link 0807
BibRef

Wright, J.[John], Yang, A.Y.[Allen Y.], Ganesh, A.[Arvind], Sastry, S.S.[S. Shankar], Ma, Y.[Yi],
Robust Face Recognition via Sparse Representation,
PAMI(31), No. 2, February 2009, pp. 210-227.
IEEE DOI 0901
Not the same, but similar. Sparse representation (down sampled, random projections) perform well within limits. BibRef

Naikal, N.[Nikhil], Yang, A.Y.[Allen Y.], Sastry, S.S.[S. Shankar],
Informative feature selection for object recognition via Sparse PCA,
ICCV11(818-825).
IEEE DOI 1201
BibRef

Elhamifar, E.[Ehsan], Sapiro, G.[Guillermo], Yang, A.Y.[Allen Y.], Sasrty, S.S.[S. Shankar],
A Convex Optimization Framework for Active Learning,
ICCV13(209-216)
IEEE DOI 1403
BibRef

Zhang, Z.D.[Zheng-Dong], Ganesh, A.[Arvind], Liang, X.[Xiao], Ma, Y.[Yi],
TILT: Transform Invariant Low-Rank Textures,
IJCV(99), No. 1, August 2012, pp. 1-24.
WWW Link. 1202
BibRef
Earlier: A1, A3, A2, A4: ACCV10(III: 314-328).
Springer DOI 1011

See also Rectification of Optical Characters as Transform Invariant Low-Rank Textures. BibRef

Liang, X.[Xiao], Ren, X.[Xiang], Zhang, Z.D.[Zheng-Dong], Ma, Y.[Yi],
Repairing Sparse Low-Rank Texture,
ECCV12(V: 482-495).
Springer DOI 1210
BibRef

Zhou, Z.H.[Zi-Han], Ganesh, A.[Arvind], Wright, J.[John], Tsai, S.F.[Shen-Fu], Ma, Y.[Yi],
Nearest-Subspace Patch Matching for face recognition under varying pose and illumination,
FG08(1-8).
IEEE DOI 0809
BibRef

Wright, J.[John], Hua, G.[Gang],
Implicit elastic matching with random projections for pose-variant face recognition,
CVPR09(1502-1509).
IEEE DOI 0906
BibRef

Li, H.X.[Hao-Xiang], Hua, G.[Gang],
Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification,
PAMI(40), No. 4, April 2018, pp. 918-930.
IEEE DOI 1804
Bayes methods, Gaussian processes, face recognition, image capture, image representation, image sampling, probabilistic elastic part model BibRef

Li, H.X.[Hao-Xiang], Hua, G.[Gang], Lin, Z.[Zhe], Brandt, J.[Jonathan], Yang, J.C.[Jian-Chao],
Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation,
ICCV13(793-800)
IEEE DOI 1403
BibRef
And:
Probabilistic Elastic Matching for Pose Variant Face Verification,
CVPR13(3499-3506)
IEEE DOI 1309
Detector Adaptation; Face Detection; PEP Model BibRef

Li, H.X.[Hao-Xiang], Hua, G.[Gang], Shen, X.H.[Xiao-Hui], Lin, Z.[Zhe], Brandt, J.[Jonathan],
Eigen-PEP for Video Face Recognition,
ACCV14(III: 17-33).
Springer DOI 1504
BibRef

Wagner, A.[Andrew], Wright, J.[John], Ganesh, A.[Arvind], Zhou, Z.H.[Zi-Han], Mobahi, H.[Hossein], Ma, Y.[Yi],
Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation,
PAMI(34), No. 2, February 2012, pp. 372-386.
IEEE DOI 1112
BibRef
Earlier: A1, A2, A3, A4, A6, Only:
Towards a practical face recognition system: Robust registration and illumination by sparse representation,
CVPR09(597-604).
IEEE DOI 0906
BibRef
Earlier: A2, A3, A4, A1, A6, Only:
Demo: Robust face recognition via sparse representation,
FG08(1-2).
IEEE DOI 0809
BibRef

Sun, J.[Ju], Zhang, Y.Q.[Yu-Qian], Wright, J.[John],
Efficient Point-to-Subspace Query in L_1 with Application to Robust Object Instance Recognition,
SIIMS(7), No. 4, 2014, pp. 2105-2138.
DOI Link 1402
BibRef
Earlier:
Efficient Point-to-Subspace Query in L_1 with Application to Robust Face Recognition,
ECCV12(IV: 416-429).
Springer DOI 1210
BibRef

Robinson, J.A.[John A.],
Covariance estimation in full- and reduced-dimensionality image classification,
IVC(27), No. 8, 2 July 2009, pp. 1062-1071.
Elsevier DOI 0906
BibRef
Earlier:
Covariance matrix estimation for appearance-based face image processing,
BMVC05(xx-yy).
HTML Version. 0509
Gaussian models; Face analysis; Regularization BibRef

Robinson, J.A.[John A.],
Regularized single-kernel conditional density estimation for face description,
ICIP09(2461-2464).
IEEE DOI 0911
BibRef

Rana, S.[Santu], Liu, W.Q.[Wan-Quan], Lazarescu, M.[Mihai], Venkatesh, S.[Svetha],
A unified tensor framework for face recognition,
PR(42), No. 11, November 2009, pp. 2850-2862.
Elsevier DOI 0907
BibRef
Earlier:
Efficient tensor based face recognition,
ICPR08(1-4).
IEEE DOI 0812
BibRef
And:
Recognising faces in unseen modes: A tensor based approach,
CVPR08(1-8).
IEEE DOI 0806
Face recognition; Tensor; Multilinear algebra BibRef

Qiu, H.N.[Hui-Ning], Pham, D.S.[Duc-Son], Venkatesh, S.[Svetha], Liu, W.Q.[Wan-Quan], Lai, J.H.[Jian-Huang],
A Fast Extension for Sparse Representation on Robust Face Recognition,
ICPR10(1023-1027).
IEEE DOI 1008
BibRef

An, S.J.[Sen-Jian], Liu, W.Q.[Wan-Quan], Venkatesh, S.[Svetha],
Face Recognition Using Kernel Ridge Regression,
CVPR07(1-7).
IEEE DOI 0706
BibRef

Wang, F.[Fei], Wang, X.[Xin], Zhang, D.Q.[Dao-Qiang], Zhang, C.S.[Chang-Shui], Li, T.[Tao],
marginFace: A novel face recognition method by average neighborhood margin maximization,
PR(42), No. 11, November 2009, pp. 2863-2875.
Elsevier DOI 0907
Face recognition; Discrimination; Neighborhoods BibRef

Zhang, C.S.[Chang-Shui], Wang, F.[Fei],
A multilevel approach for learning from labeled and unlabeled data on graphs,
PR(43), No. 6, June 2010, pp. 2301-2314.
Elsevier DOI 1003
Multilevel; Graph; Transduction; Multigrid BibRef

Wang, F.[Fei], Zhang, C.S.[Chang-Shui],
Feature Extraction by Maximizing the Average Neighborhood Margin,
CVPR07(1-8).
IEEE DOI 0706
Address data size of LDA. Find better kernels. BibRef

Sarfraz, M.S.[M. Saquib], Hellwich, O.[Olaf],
Probabilistic learning for fully automatic face recognition across pose,
IVC(28), No. 5, May 2010, pp. 744-753.
Elsevier DOI 1003
BibRef
Earlier:
Statistical appearance models for automatic pose invariant face recognition,
FG08(1-6).
IEEE DOI 0809
Face recognition; Recognition across pose; Bayesian face modeling; Face-GLOH-Signature BibRef

de Diego, I.M.[Isaac Martin], Serrano, A.[Angel], Conde, C.[Cristina], Cabello, E.[Enrique],
Face verification with a kernel fusion method,
PRL(31), No. 9, 1 July 2010, pp. 837-844.
Elsevier DOI 1004
BibRef
Earlier: A1, A3, A2, A4:
Combination of kernels applied to face verification,
ICIP09(1241-1244).
IEEE DOI 0911
Fusion; Kernel; Face verification; Gabor; Support Vector Machines BibRef

Lu, J., Tan, Y.P.,
Regularized Locality Preserving Projections and Its Extensions for Face Recognition,
SMC-B(40), No. 3, June 2010, pp. 958-963.
IEEE DOI 1006
BibRef

Gao, Q.X.[Quan-Xue], Xu, H.[Hui], Li, Y.Y.[Yi-Ying], Xie, D.Y.[De-Yan],
Two-dimensional supervised local similarity and diversity projection,
PR(43), No. 10, October 2010, pp. 3359-3363.
Elsevier DOI 1007
Manifold learning; Feature extraction; Diversity; 2DLPP; Face recognition BibRef

Soundar, K.R.[K. Ruba], Murugesan, K.,
Preserving global and local information: A combined approach for recognising face image,
IET-CV(4), No. 3, September 2010, pp. 173-182.
DOI Link 1008
Need more than PCA. BibRef

Xu, Y.[Yong], Zhong, A.[Aini], Yang, J.[Jian], Zhang, D.[David],
LPP solution schemes for use with face recognition,
PR(43), No. 12, December 2010, pp. 4165-4176.
Elsevier DOI 1003
Face recognition; Feature extraction; LPP: Locality preserving projection; Small sample size problems BibRef

Yin, H.Q.[Hai-Qing], Liu, H.W.[Hong-Wei],
Nonnegative matrix factorization with bounded total variational regularization for face recognition,
PRL(31), No. 16, December 2010, pp. 2468-2473.
Elsevier DOI 1011
Nonnegative matrix factorization; Total variation regularization; Face recognition BibRef

Lei, Z.[Zhen], Liao, S.C.[Sheng-Cai], Pietikainen, M.[Matti], Li, S.Z.[Stan Z.],
Face Recognition by Exploring Information Jointly in Space, Scale and Orientation,
IP(20), No. 1, January 2011, pp. 247-256.
IEEE DOI 1101
BibRef

Lei, Z.[Zhen], Yi, D.[Dong], Li, S.Z.[Stan Z.],
Learning Stacked Image Descriptor for Face Recognition,
CirSysVideo(26), No. 9, September 2016, pp. 1685-1696.
IEEE DOI 1609
BibRef
Earlier: A2, A1, A3:
Towards Pose Robust Face Recognition,
CVPR13(3539-3545)
IEEE DOI 1309
Convolution
See also Discriminant Image Filter Learning for Face Recognition with Local Binary Pattern Like Representation.
See also Local Gradient Order Pattern for Face Representation and Recognition. BibRef

Lei, Z.[Zhen], Liao, S.C.[Sheng-Cai], Yi, D.[Dong], Qin, R.[Rui], Li, S.Z.[Stan Z.],
A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions,
ICB09(112-121).
Springer DOI 0906
BibRef

Liao, S.C.[Sheng-Cai], Yi, D.[Dong], Lei, Z.[Zhen], Qin, R.[Rui], Li, S.Z.[Stan Z.],
Heterogeneous Face Recognition from Local Structures of Normalized Appearance,
ICB09(209-218).
Springer DOI 0906

See also HFB Face Database for Heterogeneous Face Biometrics research, The. BibRef

Yan, J.J.[Jun-Jie], Lei, Z.[Zhen], Yang, Y.[Yang], Li, S.Z.[Stan Z.],
Stacked Deformable Part Model with Shape Regression for Object Part Localization,
ECCV14(II: 568-583).
Springer DOI 1408

See also Adaptive Structural Model for Video Based Pedestrian Detection. BibRef

Lei, Z.[Zhen], Pietikainen, M., Li, S.Z.,
Learning Discriminant Face Descriptor,
PAMI(36), No. 2, February 2014, pp. 289-302.
IEEE DOI 1402
Gabor filters BibRef

Lei, Z.[Zhen], Liao, S.C.[Sheng-Cai], Li, S.Z.[Stan Z.],
Efficient feature selection for linear discriminant analysis and its application to face recognition,
ICPR12(1136-1139).
WWW Link. 1302
BibRef
Earlier:
Stepwise Correlation metric based Discriminant Analysis and multi-probe images fusion for face recognition,
Subspace09(147-153).
IEEE DOI 0910

See also Gabor volume based local binary pattern for face representation and recognition.
See also Regularized Discriminative Spectral Regression Method for Heterogeneous Face Matching. BibRef

Lei, Y.K.[Ying-Ke], Ding, Z.G.[Zhi-Guo], Hu, R.X.[Rong-Xiang], Zhang, S.W.[Shan-Wen], Jia, W.[Wei],
Orthogonal local spline discriminant projection with application to face recognition,
PRL(32), No. 4, 1 March 2011, pp. 615-625.
Elsevier DOI 1102
Feature extraction; Subspace learning; Manifold learning; Face recognition BibRef

Lu, C.Y.[Can-Yi], Min, H.[Hai], Gui, J.[Jie], Zhu, L.[Lin], Lei, Y.K.[Ying-Ke],
Face recognition via Weighted Sparse Representation,
JVCIR(24), No. 2, February 2013, pp. 111-116.
Elsevier DOI 1302
Face recognition; Weighted Sparse Representation; Nearest Feature Classifiers; Locality; Linearity; Sparse Representation; Classification; Local representation BibRef

Wang, J.[Jing], Lu, C.Y.[Can-Yi], Wang, M.[Meng], Li, P.P.[Pei-Pei], Yan, S.C.[Shui-Cheng], Hu, X.G.[Xue-Gang],
Robust Face Recognition via Adaptive Sparse Representation,
Cyber(44), No. 12, December 2014, pp. 2368-2378.
IEEE DOI 1412
face recognition BibRef

Yang, W.K.[Wan-Kou], Sun, C.Y.[Chang-Yin], Zhang, L.[Lei],
A multi-manifold discriminant analysis method for image feature extraction,
PR(44), No. 8, August 2011, pp. 1649-1657.
Elsevier DOI 1104
BibRef
Earlier:
Face Recognition Using a Multi-Manifold Discriminant Analysis Method,
ICPR10(527-530).
IEEE DOI 1008
Multi-manifold learning; LDA; Feature extraction; Image recognition BibRef

Chen, Y.N.[Yin-Nong], Han, C.C.[Chin-Chuan], Wang, C.T.[Cheng-Tzu], Fan, K.C.[Kuo-Chin],
Face Recognition Using Nearest Feature Space Embedding,
PAMI(33), No. 6, June 2011, pp. 1073-1086.
IEEE DOI 1105
Pose, illumination, expression. New feature embedding. BibRef

Hung, T.Y.[Tsung-Yung], Fan, K.C.[Kuo-Chin],
Local vector pattern in high-order derivative space for face recognition,
ICIP14(239-243)
IEEE DOI 1502
Databases BibRef

Han, P.Y.[Pang Ying], Jin, A.T.B.[Andrew Teoh Beng], Kar, A.T.[Ann Toh],
Kernel Discriminant Embedding in face recognition,
JVCIR(22), No. 7, October 2011, pp. 634-642.
Elsevier DOI 1109
Face recognition; Dimensionality reduction; Kernel trick; Graph Embedding; Fisher's criterion; Nonlinear structure; Geometrical structure; Discriminant projection BibRef

Tian, C., Fan, G., Gao, X., Tian, Q.,
Multiview Face Recognition: From TensorFace to V-TensorFace and K-TensorFace,
SMC-B(42), No. 2, April 2012, pp. 320-333.
IEEE DOI 1204
BibRef

Gui, J.[Jie], Sun, Z.A.[Zhen-An], Jia, W.[Wei], Hu, R.X.[Rong-Xiang], Lei, Y.K.[Ying-Ke], Ji, S.W.[Shui-Wang],
Discriminant sparse neighborhood preserving embedding for face recognition,
PR(45), No. 8, August 2012, pp. 2884-2893.
Elsevier DOI 1204
Sparse neighborhood preserving embedding; Sparse subspace learning; Discriminant learning; Maximum margin criterion; Discriminant sparse neighborhood preserving embedding; Face recognition BibRef

Hu, R.X.[Rong-Xiang], Jia, W.[Wei], Zhao, Y.[Yang], Gui, J.[Jie],
Perceptually motivated morphological strategies for shape retrieval,
PR(45), No. 9, September 2012, pp. 3222-3230.
Elsevier DOI 1206
Shape retrieval; Shape contexts; Morphological operation; Perceptual custom BibRef

Karabat, C.[Cagatay], Erdogan, H.[Hakan],
Discriminative Projection Selection Based Face Image Hashing,
IEICE(E95-D), No. 5, May 2012, pp. 1547-1551.
WWW Link. 1202
BibRef

Zang, F.[Fei], Zhang, J.S.[Jiang-She], Pan, J.Y.[Ji-Yuan],
Face recognition using Elasticfaces,
PR(45), No. 11, November 2012, pp. 3866-3876.
Elsevier DOI 1206
Face recognition; Dimensionality reduction; Local geometrical structure; Global information; Elastic preserving projections BibRef

Wang, J.H.[Jing-Hua], You, J.[Jane], Li, Q.[Qin], Xu, Y.[Yong],
Orthogonal discriminant vector for face recognition across pose,
PR(45), No. 12, December 2012, pp. 4069-4079.
Elsevier DOI 1208
Pattern classification; Face recognition across pose; Face manifold; Orthogonal discriminant vector BibRef

Wang, J.H.[Jing-Hua], You, J.[Jane], Li, Q.[Qin], Xu, Y.[Yong],
Extract minimum positive and maximum negative features for imbalanced binary classification,
PR(45), No. 3, March 2012, pp. 1136-1145.
Elsevier DOI 1111
Pattern classification; Feature subspace extraction; Imbalanced binary classification; Minimum positive feature; Maximum negative feature BibRef

Wang, J.H.[Jing-Hua], Xu, Y.[Yong], You, J.[Jane],
Sparse residue for occluded face image reconstruction and classification,
ICPR12(1707-1710).
WWW Link. 1302
BibRef

Wang, X.D.[Xiao-Dong], Liu, F., Jiao, L.C., Zhou, Z.G.[Zhi-Guo], Yu, J.J.[Jing-Jing], Li, B.[Bing], Chen, J.R.[Jian-Rui], Wu, J.[Jiao], Shang, F.[Fanhua],
An evidential reasoning based classification algorithm and its application for face recognition with class noise,
PR(45), No. 12, December 2012, pp. 4117-4128.
Elsevier DOI 1208
Face recognition; Class noise; Evidential reasoning; Linear regression classification (LRC); Sparse representation-based classification (SRC) BibRef

Deng, W.H.[Wei-Hong], Hu, J.[Jiani], Guo, J.[Jun],
Extended SRC: Undersampled Face Recognition via Intraclass Variant Dictionary,
PAMI(34), No. 9, September 2012, pp. 1864-1870.
IEEE DOI 1208
SRC: Sparse Representation-Based Classification. BibRef

Deng, W.H.[Wei-Hong], Hu, J.[Jiani], Guo, J.[Jun],
In Defense of Sparsity Based Face Recognition,
CVPR13(399-406)
IEEE DOI 1309
Face Recognition; Sparse Representation BibRef

Deng, W.H.[Wei-Hong], Hu, J.[Jiani], Guo, J.[Jun],
Face Recognition via Collaborative Representation: Its Discriminant Nature and Superposed Representation,
PAMI(40), No. 10, October 2018, pp. 2513-2521.
IEEE DOI 1809
Collaboration, Encoding, Training, Face, Dictionaries, Face recognition, Databases, Sparse representation,
See also Transform-Invariant PCA: A Unified Approach to Fully Automatic Face Alignment, Representation, and Recognition. BibRef

Wan, M.H.[Ming-Hua], Li, M.[Ming], Lai, Z.H.[Zhi-Hui], Yin, J.[Jun], Jin, Z.[Zhong],
Feature extraction based on fuzzy class mean embedding (FCME) with its application to face and palm biometrics,
MVA(23), No. 5, September 2012, pp. 985-997.
WWW Link. 1208
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Lai, Z.H.[Zhi-Hui], Zhao, C.R.[Cai-Rong], Chen, Y.[Yi], Jin, Z.[Zhong],
Maximal local interclass embedding with application to face recognition,
MVA(22), No. 4, July 2011, pp. 619-627.
WWW Link. 1107
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Wan, M.H.[Ming-Hua], Yang, G., Lai, Z.H.[Zhi-Hui], Jin, Z.[Zhong],
Feature extraction based on fuzzy local discriminant embedding with applications to face recognition,
IET-CV(5), No. 5, 2011, pp. 301-308.
DOI Link 1110
BibRef

Wan, M.H.[Ming-Hua], Yang, G.[Guowei], Huang, W.[Wei], Jin, Z.[Zhong],
Class mean embedding for face recognition,
AIR(36), No. 4, December 2011, pp. 285-297.
WWW Link. 1208
BibRef

Zhao, C.R.[Cai-Rong], Lai, Z.H.[Zhi-Hui], Sui, Y.[Yue], Liu, C.C.[Chuan-Cai], Jin, Z.[Zhong],
Fuzzy maximal marginal embedding and its application,
ICIP10(2709-2712).
IEEE DOI 1009
LMME with fuzzy sets. BibRef

Sharma, A.[Abhishek], Haj, M.A.[Murad Al], Choi, J.H.[Jong-Hyun], Davis, L.S.[Larry S.], Jacobs, D.W.[David W.],
Robust pose invariant face recognition using coupled latent space discriminant analysis,
CVIU(116), No. 11, November 2012, pp. 1095-1110.
Elsevier DOI 1210
Pose-invariant-face recognition; Coupled latent space; PLS; CCA; Discriminant coupled subspaces BibRef

Guo, H.M.[Hui-Min], Wang, R.P.[Rui-Ping], Choi, J.H.[Jong-Hyun], Davis, L.S.[Larry S.],
Face verification using sparse representations,
Biometrics12(37-44).
IEEE DOI 1207
BibRef

Xu, Y.[Yong], Zhu, X.J.[Xing-Jie], Li, Z.M.[Zheng-Ming], Liu, G.H.[Guang-Hai], Lu, Y.[Yuwu], Liu, H.[Hong],
Using the original and 'symmetrical face' training samples to perform representation based two-step face recognition,
PR(46), No. 4, April 2013, pp. 1151-1158.
Elsevier DOI 1301
Pattern recognition; Face recognition; Sparse representation method BibRef

Gao, S.H.[Sheng-Hua], Tsang, I.W.H.[Ivor Wai-Hung], Chia, L.T.[Liang-Tien],
Sparse Representation With Kernels,
IP(22), No. 2, February 2013, pp. 423-434.
IEEE DOI 1302
BibRef
Earlier:
Kernel Sparse Representation for Image Classification and Face Recognition,
ECCV10(IV: 1-14).
Springer DOI 1009

See also Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications. BibRef

Hao, N.[Ning], Kilmer, M.E.[Misha E.], Braman, K.[Karen], Hoover, R.C.[Randy C.],
Facial Recognition Using Tensor-Tensor Decompositions,
SIIMS(6), No. 1, 2013, pp. 437-463.
DOI Link 1304
Tensor: array, high order tensor: high dimensioned array. BibRef

Newman, E.[Elizabeth], Kilmer, M.E.[Misha E.],
Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications,
SIIMS(13), No. 3, 2020, pp. 1084-1112.
DOI Link 2010
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Venkat, I.[Ibrahim], Khader, A.T.[Ahamad Tajudin], Subramanian, K.G., de Wilde, P.[Philippe],
Recognizing occluded faces by exploiting psychophysically inspired similarity maps,
PRL(34), No. 8, June 2013, pp. 903-911.
Elsevier DOI 1305
BibRef
Earlier:
Psychophysically Inspired Bayesian Occlusion Model to Recognize Occluded Faces,
CAIP11(I: 420-426).
Springer DOI 1109
Face recognition; Occlusion; Bayesian Network; Machine learning; Similarity measures BibRef

Dornaika, F.[Fadi], Bosaghzadeh, A.[Alireza],
Exponential Local Discriminant Embedding and Its Application to Face Recognition,
Cyber(43), No. 3, 2013, pp. 921-934.
IEEE DOI BibRef 1300
Earlier:
Generalized Local Discriminant Embedding for Face Recognition,
ICIAR12(II: 90-97).
Springer DOI 1206
face recognition; discriminant analysis techniques; exponential LDE; kernel-based nonlinear mapping; graph-based embedding; local discriminant embedding (LDE) 1307
BibRef

Dornaika, F.[Fadi], Bosaghzadeh, A.[Alireza],
On Solving the Small Sample Size Problem for Marginal Fisher Analysis,
ICIAR13(116-123).
Springer DOI 1307
BibRef

Dornaika, F.[Fadi], Raducanu, B.[Bogdan],
Out-of-Sample Embedding for Manifold Learning Applied to Face Recognition,
AMFG13(862-868)
IEEE DOI 1309
BibRef

Dornaika, F.[Fadi], El Merabet, Y.[Youssef], Ruichek, Y.[Yassine],
Active Two Phase Collaborative Representation Classifier for Image Categorization,
CIAP19(I:175-184).
Springer DOI 1909
BibRef

Dornaika, F.[Fadi], El Traboulsi, Y.[Youssof], Assoum, A.[Ammar],
Adaptive Two Phase Sparse Representation Classifier for Face Recognition,
ACIVS13(182-191).
Springer DOI 1311
BibRef

Dornaika, F.[Fadi], Assoum, A.[Ammar], Raducanu, B.[Bogdan],
Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection,
SSSPR12(575-583).
Springer DOI 1211
BibRef

Dornaika, F.[Fadi], Assoum, A.[Ammar], Bosaghzadeh, A.[Alireza],
Combining Linear Dimensionality Reduction and Locality Preserving Projections with Feature Selection for Recognition Tasks,
ACIVS11(127-138).
Springer DOI 1108
BibRef
Earlier: A1, A2, Only:
Linear Dimensionality Reduction through Eigenvector Selection for Object Recognition,
ISVC10(I: 276-285).
Springer DOI 1011
BibRef

Weng, L., Dornaika, F.[Fadi], Jin, Z.,
Flexible constrained sparsity preserving embedding,
PR(60), No. 1, 2016, pp. 813-823.
Elsevier DOI 1609
Constrained embedding BibRef

Dornaika, F.[Fadi], Aldine, I.K.[Ihab Kamal],
Instance Selection Using Nonlinear Sparse Modeling,
CirSysVideo(28), No. 6, June 2018, pp. 1457-1461.
IEEE DOI 1806
Data models, Encoding, Hilbert space, Image coding, Integrated circuit modeling, Kernel, Prototypes, Block sparsity, kernel representation BibRef

Huang, P.[Pu], Tang, Z.M.[Zhen-Min], Chen, C.[Caikou], Yang, Z.J.[Zhang-Jing],
Local maximal margin discriminant embedding for face recognition,
JVCIR(25), No. 2, 2014, pp. 296-305.
Elsevier DOI 1402
Local maximal margin discriminant embedding BibRef

Gui, J.[Jie], Sun, Z.A.[Zhen-An], Cheng, J.[Jun], Ji, S.W.[Shui-Wang], Wu, X.D.[Xin-Dong],
How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?,
CirSysVideo(24), No. 2, February 2014, pp. 211-223.
IEEE DOI 1403
face recognition BibRef

Shi, X.S.[Xiao-Shuang], Yang, Y.[Yujiu], Guo, Z.H.[Zhen-Hua], Lai, Z.H.[Zhi-Hui],
Face recognition by sparse discriminant analysis via joint L2,1-norm minimization,
PR(47), No. 7, 2014, pp. 2447-2453.
Elsevier DOI 1404
L2,1-norm BibRef

Li, J.B.[Jun-Bao], Chu, S.C.[Shu-Chuan], Pan, J.S.[Jeng-Shyang],
Kernel Learning Algorithms for Face Recognition,

Karande, K.J.[Kailash Jagannath], Talbar, S.[Sanjay],
Independent Component Analysis of Edge Information for Face Recognition,

Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Adaptive and Weighted Collaborative Representations for image classification,
PRL(43), No. 1, 2014, pp. 127-135.
Elsevier DOI 1404
BibRef
Earlier:
Weighted collaborative representation and classification of images,
ICPR12(1606-1610).
WWW Link. 1302
Ridge Regression. regularized least squares. For faces
See also Iterative Nearest Neighbors for classification and dimensionality reduction. BibRef

Wu, J.Q.[Ji-Qing], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Generic 3D Convolutional Fusion for Image Restoration,
NTIRE16(I: 159-176).
Springer DOI 1704
BibRef

Wu, J.Q.[Ji-Qing], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Learned Collaborative Representations for Image Classification,
WACV15(456-463)
IEEE DOI 1503
Collaboration collaborative representation-based classifier for face recognition. BibRef

Chen, J.[Jie], Yi, Z.[Zhang],
Sparse representation for face recognition by discriminative low-rank matrix recovery,
JVCIR(25), No. 5, 2014, pp. 763-773.
Elsevier DOI 1406
Sparse representation BibRef

Zheng, Z.L.[Zhong-Long], Yu, M.[Mudan], Jia, J.[Jiong], Liu, H.W.[Hua-Wen], Xiang, D.H.[Dao-Hong], Huang, X.Q.[Xiao-Qiao], Yang, J.[Jie],
Fisher discrimination based low rank matrix recovery for face recognition,
PR(47), No. 11, 2014, pp. 3502-3511.
Elsevier DOI 1407
Low rank BibRef

Zheng, Z.L.[Zhong-Long], Yu, M.[Mudan], Jia, J.[Jiong], Liu, H.W.[Hua-Wen], Zhang, H.X.[Hai-Xin], Fu, F.M.[Fang-Mei], Huang, X.Q.[Xiao-Qiao],
Fisher Discrimination Based Low Rank Matrix Recovery,
ACPR13(330-334)
IEEE DOI 1408
matrix algebra BibRef

Chen, C.F.[Chih-Fan], Wei, C.P.[Chia-Po], Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Robust Face Recognition With Structurally Incoherent Low-Rank Matrix Decomposition,
IP(23), No. 8, August 2014, pp. 3294-3307.
IEEE DOI 1408
BibRef
Earlier:
Low-rank matrix recovery with structural incoherence for robust face recognition,
CVPR12(2618-2625).
IEEE DOI 1208
face recognition BibRef

Chen, C.F.[Chih-Fan], Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Undersampled Face Recognition via Robust Auxiliary Dictionary Learning,
IP(24), No. 6, June 2015, pp. 1722-1734.
IEEE DOI 1504
Dictionaries BibRef

Zhang, S.Q.[Shi-Qing], Zhao, X.M.[Xiao-Ming],
Locality-sensitive kernel sparse representation classification for face recognition,
JVCIR(25), No. 8, 2014, pp. 1878-1885.
Elsevier DOI 1411
Sparse representation BibRef

Papachristou, K.[Konstantinos], Tefas, A.[Anastasios], Pitas, I.[Ioannis],
Symmetric Subspace Learning for Image Analysis,
IP(23), No. 12, December 2014, pp. 5683-5697.
IEEE DOI 1412
face recognition BibRef

Papachristou, K.[Konstantinos], Tefas, A.[Anastasios], Pitas, I.[Ioannis],
Facial image analysis based on two-dimensional linear discriminant analysis exploiting symmetry,
ICIP15(3185-3189)
IEEE DOI 1512
facial image analysis BibRef

Nikan, S.[Soodeh], Ahmadi, M.[Majid],
Local gradient-based illumination invariant face recognition using local phase quantisation and multi-resolution local binary pattern fusion,
IET-IPR(9), No. 1, 2015, pp. 12-21.
DOI Link 1502
BibRef
Earlier:
Human face recognition under occlusion using LBP and entropy weighted voting,
ICPR12(1699-1702).
WWW Link. 1302
BibRef

Nikan, S.[Soodeh], Ahmadi, M.[Majid],
A modified technique for face recognition under degraded conditions,
JVCIR(55), 2018, pp. 742-755.
Elsevier DOI 1809
Face recognition, Global based, Block based, Decision fusion BibRef

Fan, Z.Z.[Zi-Zhu], Ni, M.[Ming], Zhu, Q.[Qi], Sun, C.L.[Cheng-Li], Kang, L.[Lipan],
L0-norm sparse representation based on modified genetic algorithm for face recognition,
JVCIR(28), No. 1, 2015, pp. 15-20.
Elsevier DOI 1503
Sparse representation BibRef

Wong, Y.K.[Yong-Kang], Harandi, M.T.[Mehrtash T.], Sanderson, C.[Conrad],
On robust face recognition via sparse coding: The good, the bad and the ugly,
IET-Bio(3), No. 4, 2014, pp. 176-189.
DOI Link 1504
Gaussian processes BibRef

Zhang, X.[Xin], Pham, D.S.[Duc-Son], Venkatesh, S.[Svetha], Liu, W.Q.[Wan-Quan], Phung, D.Q.[Dinh Q.],
Mixed-norm sparse representation for multi view face recognition,
PR(48), No. 9, 2015, pp. 2935-2946.
Elsevier DOI 1506
Multi-pose face recognition BibRef

Proença, H.[Hugo], Neves, J.C.[João C.], Briceño, J.,
Face recognition: handling data misalignments implicitly by fusion of sparse representations,
IET-CV(9), No. 2, 2015, pp. 216-225.
DOI Link 1506
data handling BibRef

Proença, H.[Hugo], Neves, J.C.[João C.],
Visible-wavelength iris/periocular imaging and recognition surveillance environments,
IVC(55, Part 1), No. 1, 2016, pp. 22-25.
Elsevier DOI 1612
Visual surveillance BibRef

Zhong, D.X.[De-Xing], Xie, Z.C.[Zi-Chao], Li, Y.R.[Yan-Rui], Han, J.Q.[Jiu-Qiang],
Loose L1/2 regularised sparse representation for face recognition,
IET-CV(9), No. 2, 2015, pp. 251-258.
DOI Link 1506
compressed sensing BibRef

Wang, D.[Dong], Lu, H.C.[Hu-Chuan], Yang, M.H.[Ming-Hsuan],
Kernel collaborative face recognition,
PR(48), No. 10, 2015, pp. 3025-3037.
Elsevier DOI 1507
Face recognition BibRef

Cao, X., Wei, X., Han, Y., Lin, D.,
Robust Face Clustering Via Tensor Decomposition,
Cyber(45), No. 11, November 2015, pp. 2546-2557.
IEEE DOI 1511
Approximation methods BibRef

Zhao, Z.Q.[Zhong-Qiu], Cheung, Y.M.[Yiu-Ming], Hu, H.B.[Hai-Bo], Wu, X.D.[Xin-Dong],
Expanding dictionary for robust face recognition: Pixel is not necessary while sparsity is,
IET-CV(9), No. 5, 2015, pp. 648-654.
DOI Link 1511
BibRef
And: Erratum: IET-CV(10), No. 3, 2016, pp. 234-234.
DOI Link 1604
approximation theory BibRef

Zhao, Z.Q.[Zhong-Qiu], Cheung, Y.M.[Yiu-Ming], Hu, H.B.[Hai-Bo], Wu, X.D.[Xin-Dong],
Corrupted and occluded face recognition via cooperative sparse representation,
PR(56), No. 1, 2016, pp. 77-87.
Elsevier DOI 1604
Face recognition BibRef

Xu, Y.[Yong], Zhang, Z.[Zheng], Lu, G.M.[Guang-Ming], Yang, J.[Jian],
Approximately Symmetrical Face Images for Image Preprocessing in Face Recognition and Sparse Representation Based Classification,
PR(54), No. 1, 2016, pp. 68-82.
Elsevier DOI 1603
Approximately symmetrical face
See also Robust sparse coding for face recognition. BibRef

Fan, Z.Z.[Zi-Zhu], Zhang, D.[Da], Wang, X.[Xin], Zhu, Q.[Qi], Wang, Y.F.[Yuan-Fang],
Virtual Dictionary Based Kernel Sparse Representation for Face Recognition,
PR(76), No. 1, 2018, pp. 1-13.
Elsevier DOI 1801
Kernel sparse representation for classification (KSRC) BibRef

Zhu, Q.[Qi], Xu, Y.[Yong], Wang, J.H.[Jing-Hua], Fan, Z.Z.[Zi-Zhu],
Kernel based sparse representation for face recognition,
ICPR12(1703-1706).
WWW Link. 1302
BibRef

Dong, Z.[Zhen], Pei, M.T.[Ming-Tao], Jia, Y.D.[Yun-De],
Orthonormal dictionary learning and its application to face recognition,
IVC(51), No. 1, 2016, pp. 13-21.
Elsevier DOI 1606
Orthonormal dictionary learning BibRef

Zou, C., Kou, K.I., Wang, Y.,
Quaternion Collaborative and Sparse Representation With Application to Color Face Recognition,
IP(25), No. 7, July 2016, pp. 3287-3302.
IEEE DOI 1606
face recognition BibRef

Li, H.X.[Han-Xi], Shen, F.M.[Fu-Min], Shen, C.H.[Chun-Hua], Yang, Y.[Yang], Gao, Y.S.[Yong-Sheng],
Face recognition using linear representation ensembles,
PR(59), No. 1, 2016, pp. 72-87.
Elsevier DOI 1609
Face recognition BibRef

Brown, D.[Douglas], Li, H.X.[Han-Xi], Gao, Y.S.[Yong-Sheng],
Locality-Regularized Linear Regression for face recognition,
ICPR12(1586-1589).
WWW Link. 1302
BibRef

Hu, Z.P.[Zheng-Ping], Bai, F.[Fan], Zhao, S.H.[Shu-Huan], Wang, M.[Meng], Sun, Z.[Zhe],
Extended common molecular and discriminative atom dictionary based sparse representation for face recognition,
JVCIR(40, Part A), No. 1, 2016, pp. 42-50.
Elsevier DOI 1609
Face recognition BibRef

Li, H.J.[Hong-Jun], Suen, C.Y.[Ching Y.],
Robust face recognition based on dynamic rank representation,
PR(60), No. 1, 2016, pp. 13-24.
Elsevier DOI 1609
Face recognition BibRef

Harandi, M.T.[Mehrtash T.], Sanderson, C.[Conrad], Shirazi, S.A.[Sareh Abolahrari], Lovell, B.C.[Brian C.],
Kernel analysis on Grassmann manifolds for action recognition,
PRL(34), No. 15, 2013, pp. 1906-1915.
Elsevier DOI 1309
Action recognition BibRef

Shirazi, S.A.[Sareh Abolahrari], Harandi, M.T.[Mehrtash T.], Lovell, B.C.[Brian C.], Sanderson, C.[Conrad],
Object tracking via non-Euclidean geometry: A Grassmann approach,
WACV14(901-908)
IEEE DOI 1406
Computational modeling BibRef

Shirazi, S.A.[Sareh Abolahrari], Harandi, M.T.[Mehrtash T.], Sanderson, C.[Conrad], Alavi, A.[Azadeh], Lovell, B.C.[Brian C.],
Clustering on Grassmann manifolds via kernel embedding with application to action analysis,
ICIP12(781-784).
IEEE DOI 1302
BibRef

Harandi, M.T.[Mehrtash T.], Ahmadabadi, M.N.[Majid Nili], Araabi, B.N.[Babak N.], Bigdeli, A.[Abbas], Lovell, B.C.[Brian C.],
Directed Random Subspace Method for Face Recognition,
ICPR10(2688-2691).
IEEE DOI 1008
BibRef

Lovell, B.C.[Brian C.], Bigdeli, A.[Abbas], Mau, S.[Sandra],
Embedded face and biometric technologies for national and border security,
ECVW11(117-122).
IEEE DOI 1106
BibRef

Shirazi, S.A.[Sareh Abolahrari], Dadgostar, F.[Farhad], Lovell, B.C.[Brian C.],
An Appearance-Based Approach to Assistive Identity Inference Using LBP and Colour Histograms,
VS10(236-245).
Springer DOI 1109
BibRef

Alavi, A., Harandi, M.T.[Mehrtash T.], Sanderson, C.[Conrad],
Relational divergence based classification on Riemannian manifolds,
WACV13(111-116).
IEEE DOI 1303
BibRef

Sanin, A.[Andres], Sanderson, C.[Conrad], Harandi, M.T.[Mehrtash T.], Lovell, B.C.[Brian C.],
Spatio-temporal covariance descriptors for action and gesture recognition,
WACV13(103-110).
IEEE DOI 1303
BibRef
And:
K-tangent spaces on Riemannian manifolds for improved pedestrian detection,
ICIP12(473-476).
IEEE DOI 1302
BibRef

Harandi, M.T.[Mehrtash T.], Sanderson, C.[Conrad], Wiliem, A.[Arnold], Lovell, B.C.[Brian C.],
Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures,
WACV12(433-439).
IEEE DOI 1203
BibRef

Harandi, M.T.[Mehrtash T.], Sanderson, C.[Conrad], Bigdeli, A.[Abbas], Lovell, B.C.[Brian C.],
Ensemble of furthest subspace pairs for enhanced image set matching,
ICIP11(821-824).
IEEE DOI 1201
BibRef

Feng, Q., Yuan, C., Pan, J.S., Yang, J.F., Chou, Y.T., Zhou, Y., Li, W.,
Superimposed Sparse Parameter Classifiers for Face Recognition,
Cyber(47), No. 2, February 2017, pp. 378-390.
IEEE DOI 1702
face recognition BibRef

Quach, K.G.[Kha Gia], Duong, C.N.[Chi Nhan], Luu, K.[Khoa], Bui, T.D.[Tien D.],
Non-convex online robust PCA: Enhance sparsity via lp-norm minimization,
CVIU(158), No. 1, 2017, pp. 126-140.
Elsevier DOI 1704
BibRef
Earlier: A1, A2, A3, A4:
Robust Deep Appearance Models,
ICPR16(390-395)
IEEE DOI 1705
BibRef
Earlier: A2, A3, A1, A4:
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines,
CVPR16(5772-5780)
IEEE DOI 1612
BibRef
Earlier: A1, A2, A4, Only:
Sparse Representation and Low-Rank Approximation for Robust Face Recognition,
ICPR14(1330-1335)
IEEE DOI 1412
Active appearance model, Computational modeling, Face, Image reconstruction, Principal component analysis, Robustness, Shape. Robust principal component analysis Databases BibRef

Duong, C.N.[Chi Nhan], Luu, K.[Khoa], Quach, K.G.[Kha Gia], Bui, T.D.[Tien D.],
Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling,
IJCV(127), No. 5, May 2019, pp. 437-455.
Springer DOI 1903
BibRef
Earlier:
Beyond Principal Components: Deep Boltzmann Machines for face modeling,
CVPR15(4786-4794)
IEEE DOI 1510
BibRef

Bui, T.D.[Tien D.], Quach, K.G.[Kha Gia], Duong, C.N.[Chi Nhan], Luu, K.[Khoa],
Lp Norm Relaxation Approach for Large Scale Data Analysis: A Review,
ICIAR18(285-292).
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face recognition, image representation, embedded nonlinear information, kernelized locality-sensitive group sparsity representation, novel joint sparse representation method, robust face recognition, Dictionaries, Face recognition, Image reconstruction, Kernel, Robustness, Training, Training data, Face recognition, kernel methods. BibRef

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IEICE(E101-D), No. 1, January 2018, pp. 265-268.
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IEEE DOI 1905
approximation theory, concave programming, convex programming, face recognition, image representation, minimisation, forward-backward iteration BibRef

Cheng, E.J.W.[Eric-Ju-Wei], Chou, K.P.[Kuang-Pen], Rajora, S.[Shantanu], Jin, B.H.[Bo-Hao], Tanveer, M., Lin, C.T.[Chin-Teng], Young, K.Y.[Ku-Young], Lin, W.C.[Wen-Chieh], Prasad, M.[Mukesh],
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PRL(125), 2019, pp. 71-77.
Elsevier DOI 1909
Face recognition, Deep learning, Feature extraction, Convolutional Neural Network, Sparse Representation Classifier BibRef

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IEEE DOI 1902
decision trees, face recognition, image classification, image coding, learning (artificial intelligence), classification BibRef

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CVPR16(5839-5847)
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Linear regression, Training, Face recognition, Transforms, Kernel, Measurement uncertainty, Noise measurement, group low-rank constraint BibRef

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Face recognition, Sparse representation, Matching pursuit BibRef

Chen, Z.[Zhe], Wu, X.J.[Xiao-Jun], Yin, H.F.[He-Feng], Kittler, J.V.[Josef V.],
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Face recognition, Low-rank representation, Noise-robust dictionary learning, Slack block-diagonal structure BibRef

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Integrating data uncertainty into the feature representation. Probabilistic face embeddings, Deep learning, Face recognition, Data uncertainty estimation BibRef

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Face recognition, Training, Measurement, Testing, Stability analysis, Additives, Neural networks, Hypersphere, face recognition, loss function BibRef

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SphereFace: Deep Hypersphere Embedding for Face Recognition,
CVPR17(6738-6746)
IEEE DOI 1711
Face, Face recognition, Feature extraction, Manifolds, Measurement, Testing, Training BibRef

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Sparse representation-based classification, Unlabeled data, Sparsity, Low-rank subspace structure, Face recognition BibRef

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ICCV19(6901-6910)
IEEE DOI 2004
face recognition, feature extraction, Gaussian distribution, image fusion, image matching, image representation, probability, Training data BibRef

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IEEE DOI 2002
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Lian, L., Zheng, H., Dong, J.,
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ICIP17(1782-1786)
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Databases, Encoding, Face, Face recognition, Laplace equations, Robustness, Training, block occlusion, face recognition, sparse representation BibRef

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VCIP16(1-4)
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ICIP15(3630-3634)
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Face Recognition BibRef

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ICIP15(329-333)
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Feature extraction BibRef

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FaceNet: A unified embedding for face recognition and clustering,
CVPR15(815-823)
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ICIP14(348-352)
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Databases BibRef

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Pose-Aware Person Recognition,
CVPR17(6797-6806)
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Face, Face recognition, Training, Videos BibRef

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Face Recognition in Videos by Label Propagation,
ICPR14(303-308)
IEEE DOI 1412
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Earlier:
Sparse Representation Based Face Recognition with Limited Labeled Samples,
ACPR13(712-716)
IEEE DOI 1408
Dictionaries. compressed sensing BibRef

Shafiee, S., Kamangar, F., Ghandehari, L.S.,
Cluster-based multi-task Sparse Representation for efficient face recognition,
Southwest14(125-128)
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face recognition BibRef

Loderer, M.[Marek], Pavlovicová, J.[Jarmila], Oravec, M.[Milos], Mazanec, J.,
Face parts importance in face and expression recognition,
WSSIP15(188-191)
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emotion recognition BibRef

Loderer, M.[Marek], Pavlovicová, J.[Jarmila], Feder, M.[Matej], Oravec, M.[Milos],
Data dimension reduction in training strategy for face recognition system,
WSSIP14(263-266) 1406
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Zafeiriou, S.P.[Stefanos P.], Kotsia, I.[Irene],
On One-Shot Similarity Kernels: Explicit Feature Maps and Properties,
ICCV13(2392-2399)
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face recognition; face tracking; kernel learning BibRef

Zhang, Y.[Yizhe], Shao, M.[Ming], Wong, E.K.[Edward K.], Fu, Y.[Yun],
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ICCV13(2416-2423)
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Face Recognition BibRef

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ICCV13(1960-1967)
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ICIP13(3770-3774)
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ICIP13(3695-3699)
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Dimensionality reduction;face recognition;sparse representation BibRef

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ICIP13(3676-3679)
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discriminative analysis;face recognition;null space;rank space BibRef

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Kang, C.C.[Cui-Cui], Liao, S.C.[Sheng-Cai], Xiang, S.M.[Shi-Ming], Pan, C.H.[Chun-Hong],
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AMFG13(846-853)
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Wang, L.F.[Ling-Feng], Wu, H.Y.[Huai-Yu], Pan, C.H.[Chun-Hong],
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FG13(1-6)
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Chiang, C.K.[Chen-Kuo], Su, T.F.[Te-Feng], Yen, C.[Chih], Lai, S.H.[Shang-Hong],
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FG13(1-6)
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Magalhães, F.[Filipe], Sousa, R.[Ricardo], Araújo, F.M.[Francisco M.], Correia, M.V.[Miguel V.],
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Lee, D.H.[Dong-Hoon], Park, H.S.[Hyun-Sin], Chung, J.Y.[Jun-Young], Song, Y.O.[Young-Ook], Yoo, C.D.[Chang D.],
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Makaremi, I.[Iman], Ahmadi, M.[Majid],
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FGR06(49-54).
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Face Recognition with the Multiple Constrained Mutual Subspace Method,
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HTML Version. 0507
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Wang, X.G.[Xiao-Gang], Tang, X.[Xiaoou],
Subspace Analysis Using Random Mixture Models,
CVPR05(I: 574-580).
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Add random mixture model for LDA. BibRef

Cruz-Llanas, S., Fierrez-Aguilar, J., Ortega-Garcia, J., Gonzalez-Rodriguez, J.,
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Automatic Detection of the Optimal Acceptance Threshold in a Face Verification System,
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Nonlinear Mapping of Multi-View Face Patterns Into a Zero Mean Gaussian Distribution in a Low Dimensional Space,
RATFG01(xx-yy). 0106
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Identifying human face profiles with semi-local integral invariants,
CIAP97(I: 414-421).
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Face distinctiveness in recognition across viewpoint: an analysis of the statistical structure of face spaces,
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Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Three-Dimensional Matching Using Hashing/Indexing .