Intrator, N.,
Reisfeld, D.,
Yeshurun, Y.,
Face Recognition Using A Hybrid Supervised Unsupervised Neural-Network,
PRL(17), No. 1, January 10 1996, pp. 67-76.
BibRef
9601
Earlier:
Face Recognition Using a Hybrid Supervised/Unsupervised Neural Network,
ICPR94(B:50-54).
IEEE DOI
BibRef
Edelman, S.[Shimon],
Reisfeld, D.[Daniel], and
Yeshurun, Y.[Yehezkel],
Learning to Recognize Faces from Examples,
ECCV92(787-791).
Springer DOI
BibRef
9200
Earlier:
WeizmannDepartment of Applied Mathematics and Computer Science, CS TR 91-20, 1991.
BibRef
Reisfeld, D.[Daniel],
Generalized Symmetry Transforms:
Attentional Mechanisms and Face Recognition,
Ph.D.Thesis, January 1994,
BibRef
9401
Tel AvivUniversity.
BibRef
Lando, M.[Maria],
Edelman, S.[Shimon],
Generalization from a Single View in Face Recognition,
WeizmannCS-TR 95-02, 1995.
BibRef
9500
Flocchini, P.,
Gardin, F.,
Mauri, G.,
Pensini, M.P.,
Stofella, P.,
Combining Image Processing Operators and Neural Networks in
a Face Recognition System,
PRAI(6), 1992, pp. 447-467.
BibRef
9200
Tamura, S.,
Kawai, H.,
Mitsumoto, H.,
Male-Female Identification from 8x6 Very-Low Resolution Face Images
by Neural-Network,
PR(29), No. 2, February 1996, pp. 331-335.
Elsevier DOI
BibRef
9602
Zhang, M.[Ming],
Fucher, J.[John],
Face Recognition Using Artificial Neural-Network
Group-Based Adaptive Tolerance (GAT) Trees,
TNN(7), No. 3, May 1996, pp. 555-567.
9606
BibRef
Zhang, M.[Ming],
Fucher, J.[John],
Face perspective understanding using artificial neural network
group-based tree,
ICIP96(III: 475-478).
IEEE DOI
BibRef
9600
Javidi, B.[Bahram],
Method and apparatus for implementation of neural networks
for face recognition,
US_Patent5,699,449, Dec 16, 1997
WWW Link.
BibRef
9712
Lawrence, S.[Steve],
Giles, C.L.[C. Lee],
Tsoi, A.C.[Ah Chung],
Back, A.D.[Andrew D.],
Face Recognition: A Convolutional Neural-Network Approach,
TNN(8), No. 1, January 1997, pp. 98-113.
9701
BibRef
Lawrence, S.[Steve],
Giles, C.L.[C. Lee],
Tsoi, A.C.[Ah Chung],
Back, A.D.[Andrew D.],
Face Recognition: A Hybrid Neural Network Approach,
U. of
Maryland-CS-TR-3608 and UMIACS-96-16. 1996.
WWW Link.
BibRef
9600
Lawrence, S.[Steve],
Giles, C.L.[C. Lee],
Tsoi, A.C.[Ah Chung],
Convolutional Neural Networks for Face Recognition,
CVPR96(217-222).
IEEE DOI
BibRef
9600
Uwechue, O.A.[Okechukwu A.],
Pandya, A.S.[Abhijit S.],
Human Face Recognition Using Third-Order Synthetic Neural Networks,
KluwerJune 1997, ISBN 0-7923-9957-9.
WWW Link.
BibRef
9706
Ranganath, S.,
Arun, K.,
Face Recognition Using Transform Features and Neural Networks,
PR(30), No. 10, October 1997, pp. 1615-1622.
Elsevier DOI
9712
BibRef
Yoon, K.S.,
Ham, Y.K.,
Park, R.H.,
Hybrid Approaches to Frontal View Face Recognition Using
the Hidden Markov Model and Neural-Network,
PR(31), No. 3, March 1998, pp. 283-293.
Elsevier DOI
9802
See also 3D Object Recognition in Range Images Using Hidden Markov Models and Neural Networks.
BibRef
Park, G.T.[Gyu-Tae],
Bien, Z.N.[Zeung-Nam],
Neural network-based fuzzy observer with application to facial analysis,
PRL(21), No. 2, February 2000, pp. 93-105.
0003
BibRef
Dailey, M.N., and
Cottrell, G.W.,
Organization of face and object recognition in
modular neural network models,
NeurNet(12), Issues 7-8, 11 October 1999, pp. 1053-1074.
Elsevier DOI
BibRef
9910
Hwang, W.S.[Wey-Shiuan],
Weng, J.Y.[Ju-Yang],
Hierarchical Discriminant Regression,
PAMI(22), No. 11, November 2000, pp. 1277-1293.
IEEE DOI
0012
Classification system. Applied to faces.
BibRef
Weng, J.J.,
Hwang, W.S.,
Toward Automation of Learning:
The State Self-Organization Problem for a Face Recognizer,
AFGR98(384-389).
IEEE DOI
BibRef
9800
Haddadnia, J.[Javad],
Faez, K.[Karim],
Ahmadi, M.[Majid],
A fuzzy hybrid learning algorithm for radial basis function neural
network with application in human face recognition,
PR(36), No. 5, May 2003, pp. 1187-1202.
Elsevier DOI
0301
BibRef
Haddadnia, J.[Javad],
Ahmadi, M.[Majid],
N-Feature Neural Network Human Face Recognition,
IVC(22), No. 12, 1 October 2004, pp. 1071-1082.
Elsevier DOI
0409
BibRef
Earlier:
Add A2 of 3:
Faez, K.[Karim],
VI02(300).
PDF File.
0208
BibRef
Haddadnia, J.,
Faez, K.,
Moallem, P.,
Neural Network Based Face Recognition with Moment Invariants,
ICIP01(I: 1018-1021).
IEEE DOI
0108
BibRef
Yaghoubi, Z.,
Faez, K.,
Eliasi, M.,
Motamed, S.,
Face recognition using HMAX method for feature extraction and support
vector machine classifier,
IVCNZ09(421-424).
IEEE DOI
0911
BibRef
Zhang, D.,
Peng, H.[Hui],
Zhou, J.[Jie],
Pal, S.K.,
A novel face recognition system using hybrid neural and dual
eigenspaces methods,
SMC-A(32), No. 6, November 2002, pp. 787-793.
IEEE Top Reference.
0301
BibRef
Zhao, Z.Q.[Zhong-Qiu],
Huang, D.S.[De-Shuang],
Sun, B.Y.[Bing-Yu],
Human face recognition based on multi-features using neural networks
committee,
PRL(25), No. 12, September 2004, pp. 1351-1358.
Elsevier DOI
0409
BibRef
Zhao, Z.Q.[Zhong-Qiu],
A novel modular neural network for imbalanced classification problems,
PRL(30), No. 9, 1 July 2009, pp. 783-788.
Elsevier DOI
0905
Modular neural networks; Imbalanced classification; Time consumption;
Classification performance
BibRef
Garcia, C.,
Delakis, M.,
Convolutional Face Finder:
A Neural Architecture for Fast and Robust Face Detection,
PAMI(26), No. 11, November 2004, pp. 1408-1423.
IEEE Abstract.
0410
BibRef
Earlier:
A neural architecture for fast and robust face detection,
ICPR02(II: 44-47).
IEEE DOI
0211
Rotated 20deg, turned 60deg.
Learn features extractors for recognition.
BibRef
Ebrahimpour, R.[Reza],
Kabir, E.[Ehsanollah], and
Yousefi, M.R.[Mohammad Reza],
Teacher-directed learning in view-independent face recognition
with mixture of experts using single-view eigenspaces,
Franklin(345), No. 2, March 2008, pp. 87-101.
Elsevier DOI
BibRef
0803
Ebrahimpour, R.[Reza],
Kabir, E.[Ehsanollah],
Yousefi, M.R.[Mohammad Reza],
Teacher-directed learning in view-independent face recognition with
mixture of experts using overlapping eigenspaces,
CVIU(111), No. 2, August 2008, pp. 195-206.
Elsevier DOI
0808
View-independent face recognition; Mixture of experts;
Teacher-directed learning; Single-view eigenspaces;
Global eigenspace; Overlapping eigenspaces
BibRef
Ebrahimpour, R.[Reza],
Kabir, E.[Ehsanollah],
Yousefi, M.R.[Mohammad Reza],
Improving mixture of experts for view-independent face recognition
using teacher-directed learning,
MVA(22), No. 2, March 2011, pp. 421-432.
WWW Link.
1103
BibRef
Ebrahimpour, R.[Reza],
Kabir, E.[Ehsanollah],
Esteky, H.[Hossein], and
Yousefi, M.R.[Mohammad Reza],
View-independent face recognition with Mixture of Experts,
Neurocomputing(71), Issues 4-6, January 2008, pp. 1103-1107.
Elsevier DOI
BibRef
0801
Kumar, D.[Dinesh],
Rai, C.S.,
Kumar, S.[Shakti],
Analysis of unsupervised learning techniques for face recognition,
IJIST(20), No. 3, September 2010, pp. 261-267.
DOI Link
1008
BibRef
Sudha, N.,
Mohan, A.R.,
Meher, P.K.,
A Self-Configurable Systolic Architecture for Face Recognition System
Based on Principal Component Neural Network,
CirSysVideo(21), No. 8, August 2011, pp. 1071-1084.
IEEE DOI
1108
BibRef
Chan, T.H.[Tsung-Han],
Jia, K.[Kui],
Gao, S.H.[Sheng-Hua],
Lu, J.W.[Ji-Wen],
Zeng, Z.[Zinan],
Ma, Y.[Yi],
PCANet: A Simple Deep Learning Baseline for Image Classification?,
IP(24), No. 12, December 2015, pp. 5017-5032.
IEEE DOI
1512
channel bank filters
BibRef
Zeng, Z.[Zinan],
Xiao, S.J.[Shi-Jie],
Jia, K.[Kui],
Chan, T.H.[Tsung-Han],
Gao, S.H.[Sheng-Hua],
Xu, D.[Dong],
Ma, Y.[Yi],
Learning by Associating Ambiguously Labeled Images,
CVPR13(708-715)
IEEE DOI
1309
low rank; partial permutation matrix; weakly supervised learning
Faces with partial captions.
BibRef
Xiong, C.,
Liu, L.,
Zhao, X.,
Yan, S.,
Kim, T.K.,
Convolutional Fusion Network for Face Verification in the Wild,
CirSysVideo(26), No. 3, March 2016, pp. 517-528.
IEEE DOI
1603
Accuracy
BibRef
Xiong, C.,
Zhao, X.,
Tang, D.,
Jayashree, K.,
Yan, S.,
Kim, T.K.,
Conditional Convolutional Neural Network for Modality-Aware Face
Recognition,
ICCV15(3667-3675)
IEEE DOI
1602
Convolution
BibRef
Bondi, L.,
Baroffio, L.,
Cesana, M.,
Tagliasacchi, M.,
Chiachia, G.,
Rocha, A.,
Rate-energy-accuracy optimization of convolutional architectures for
face recognition,
JVCIR(36), No. 1, 2016, pp. 142-148.
Elsevier DOI
1603
Convolutional architectures
BibRef
Lv, J.J.[Jiang-Jing],
Cheng, C.[Cheng],
Tian, G.D.[Guo-Dong],
Zhou, X.D.[Xiang-Dong],
Zhou, X.[Xi],
Landmark perturbation-based data augmentation for unconstrained face
recognition,
SP:IC(47), No. 1, 2016, pp. 465-475.
Elsevier DOI
1610
Feature representation
BibRef
Deng, W.H.[Wei-Hong],
Hu, J.[Jiani],
Zhang, N.[Nanhai],
Chen, B.H.[Bing-Hui],
Guo, J.[Jun],
Fine-grained face verification:
FGLFW database, baselines, and human-DCMN partnership,
PR(66), No. 1, 2017, pp. 63-73.
Elsevier DOI
1704
Fine-grained visual recognition.
Includes a fine-grained dataset.
See also Lighting-aware face frontalization for unconstrained face recognition.
See also Robust, accurate and efficient face recognition from a single training image: A uniform pursuit approach.
BibRef
Reale, C.[Christopher],
Lee, H.[Hyungtae],
Kwon, H.[Heesung],
Chellappa, R.[Rama],
Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition,
FG17(897-903)
IEEE DOI
1707
Ad hoc networks, Convolution, Face, Face recognition,
Machine learning, Optimization, Training
BibRef
Reale, C.[Christopher],
Lee, H.[Hyungtae],
Kwon, H.[Heesung],
Deep Heterogeneous Face Recognition Networks Based on Cross-Modal
Distillation and an Equitable Distance Metric,
PBVS17(226-232)
IEEE DOI
1709
Cameras, Convolution, Face, Face recognition, Measurement,
Neural networks, Training
BibRef
Ferrari, C.,
Lisanti, G.,
Berretti, S.,
del Bimbo, A.[Alberto],
Investigating Nuisance Factors in Face Recognition with DCNN
Representation,
Biometrics17(583-591)
IEEE DOI
1709
Computer architecture, Computer vision, Face, Face recognition,
Feature extraction, Machine learning, Training
BibRef
Tripathi, S.,
Dane, G.,
Kang, B.,
Bhaskaran, V.,
Nguyen, T.,
LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object
Detection in Embedded Systems,
ECVW17(411-420)
IEEE DOI
1709
Detectors, Face detection, Mathematical model, Object detection,
Quantization (signal), Real-time systems, Training
BibRef
Nakada, M.,
Wang, H.,
Terzopoulos, D.,
AcFR: Active Face Recognition Using Convolutional Neural Networks,
Cognition17(35-40)
IEEE DOI
1709
Computational modeling, Computer vision, Face, Face recognition,
Feature extraction, Image recognition, Observers
BibRef
Li, L.,
Jun, Z.,
Fei, J.,
Li, S.,
An incremental face recognition system based on deep learning,
MVA17(238-241)
DOI Link
1708
Data models, Face, Face recognition, Image resolution,
Partitioning algorithms, Support vector machines, Training
BibRef
Wan, L.H.[Li-Hong],
Liu, N.[Na],
Huo, H.[Hong],
Fang, T.[Tao],
Face Recognition with Convolutional Neural Networks and subspace
learning,
ICIVC17(228-233)
IEEE DOI
1708
Computer architecture, Databases, Face, Face recognition,
Feature extraction, Principal component analysis, Training,
convolutional neural networks, face recognition,
linear discriminate analysis, whitening, principal, component, analysis
BibRef
Dong, B.[Bin],
An, Z.F.[Zhan-Fu],
Lin, J.[Jian],
Deng, W.H.[Wei-Hong],
Attention-Based Template Adaptation for Face Verification,
FG17(941-946)
IEEE DOI
1707
Face, Feature extraction, Neural networks, Probabilistic logic,
Three-dimensional displays, Training, Videos
BibRef
Franc, V.[Vojtech],
Cech, J.[Jan],
Learning CNNs for Face Recognition from Weakly Annotated Images,
FG17(933-940)
IEEE DOI
1707
Convolution, Databases, Detectors, Estimation, Face, Face, recognition
BibRef
Parde, C.J.[Connor J.],
Castillo, C.[Carlos],
Hill, M.Q.[Matthew Q.],
Colon, Y.I.[Y. Ivette],
Sankaranarayanan, S.[Swami],
Chen, J.C.[Jun-Cheng],
O'Toole, A.J.[Alice J.],
Face and Image Representation in Deep CNN Features,
FG17(673-680)
IEEE DOI
1707
Face, Face recognition, Feature extraction, Media, Metadata,
Robustness, Training
BibRef
He, Z.,
Zhang, J.,
Kan, M.,
Shan, S.,
Chen, X.,
Robust FEC-CNN: A High Accuracy Facial Landmark Detection System,
FaceWild17(2044-2050)
IEEE DOI
1709
BibRef
And: A1, A3, A2, A5, A4:
A Fully End-to-End Cascaded CNN for Facial Landmark Detection,
FG17(200-207)
IEEE DOI
1707
Face, Feature extraction, Neural networks, Robustness, Shape, Silicon, Training
Mathematical model, Predictive models, Testing
BibRef
Narang, N.[Neeru],
Martin, M.,
Metaxas, D.N.,
Bourlai, T.[Thirimachos],
Learning Deep Features for Hierarchical Classification of Mobile
Phone Face Datasets in Heterogeneous Environments,
FG17(186-193)
IEEE DOI
1707
Cameras, Databases, Face, Face detection, Mobile handsets,
Pose estimation, Videos
BibRef
Peng, X.,
Ratha, N.,
Pankanti, S.,
Learning face recognition from limited training data using deep
neural networks,
ICPR16(1442-1447)
IEEE DOI
1705
Face, Face recognition, Feature extraction, Image recognition,
Machine learning, Training, Training, data
BibRef
Mygdalis, V.,
Tefas, A.,
Pitas, I.,
Exploiting local and global geometric data relationships in Support
Vector Data Description,
ICPR16(515-519)
IEEE DOI
1705
Data models, Face recognition, Kernel, Optimization,
Support vector machines, Training, Training, data
BibRef
Baumgartner, T.[Tobi],
Culpepper, J.[Jack],
Deep Architectures for Face Attributes,
WFI16(II: 334-344).
Springer DOI
1704
BibRef
Wang, S.[Shiyao],
Deng, Z.D.[Zhi-Dong],
Wang, Z.Y.[Zhen-Yang],
Collaborative Learning Network for Face Attribute Prediction,
ACCV16(III: 361-374).
Springer DOI
1704
BibRef
Liu, H.[Hao],
Duan, H.P.[Hui-Ping],
Cui, H.Y.[Hong-Yu],
Yin, Y.J.[Yun-Jie],
Face recognition using training data with artificial occlusions,
VCIP16(1-4)
IEEE DOI
1701
Databases. For criminal id.
BibRef
Opitz, M.[Michael],
Waltner, G.[Georg],
Poier, G.[Georg],
Possegger, H.[Horst],
Bischof, H.[Horst],
Grid Loss: Detecting Occluded Faces,
ECCV16(III: 386-402).
Springer DOI
1611
Grid loss layer for CNN to deal with occlusions.
BibRef
Wen, Y.D.[Yan-Dong],
Zhang, K.P.[Kai-Peng],
Li, Z.F.[Zhi-Feng],
Qiao, Y.[Yu],
A Discriminative Feature Learning Approach for Deep Face Recognition,
ECCV16(VII: 499-515).
Springer DOI
1611
BibRef
Earlier: A1, A3, A4, Only:
Latent Factor Guided Convolutional Neural Networks for Age-Invariant
Face Recognition,
CVPR16(4893-4901)
IEEE DOI
1612
BibRef
Saxena, S.[Shreyas],
Verbeek, J.[Jakob],
Heterogeneous Face Recognition with CNNs,
TASKCV16(III: 483-491).
Springer DOI
1611
BibRef
Zhang, T.[Ting],
Dong, Q.L.[Qiu-Lei],
Hu, Z.Y.[Zhan-Yi],
Pursuing face identity from view-specific representation to
view-invariant representation,
ICIP16(3244-3248)
IEEE DOI
1610
Brain modeling
BibRef
Wu, R.,
Kamata, S.I.,
A jointly local structured sparse deep learning network for face
recognition,
ICIP16(3026-3030)
IEEE DOI
1610
Databases
BibRef
Grundström, J.[Jakob],
Chen, J.[Jiandan],
Ljungqvist, M.G.[Martin Georg],
Åström, K.[Kalle],
Transferring and Compressing Convolutional Neural Networks for Face
Representations,
ICIAR16(20-29).
Springer DOI
1608
BibRef
Sudowe, P.,
Spitzer, H.,
Leibe, B.,
Person Attribute Recognition with a Jointly-Trained Holistic CNN
Model,
ChaLearnDec15(329-337)
IEEE DOI
1602
Benchmark testing
BibRef
Hu, G.,
Yang, Y.,
Yi, D.,
Kittler, J.V.,
Christmas, W.,
Li, S.Z.,
Hospedales, T.M.,
When Face Recognition Meets with Deep Learning: An Evaluation of
Convolutional Neural Networks for Face Recognition,
ChaLearnDec15(384-392)
IEEE DOI
1602
Convolutional codes
BibRef
Dam, N.[Nhan],
Nguyen, V.T.[Vinh-Tiep],
Do, M.N.[Minh N.],
Duong, A.D.[Anh-Duc],
Tran, M.T.[Minh-Triet],
Realtime Face Verification with Lightweight Convolutional Neural
Networks,
ISVC15(II: 420-430).
Springer DOI
1601
BibRef
Ma, Y.K.[Yu-Kun],
He, J.Y.[Jiao-Yu],
Wu, L.F.[Li-Fang],
Qi, W.[Wei],
An Effective Face Verification Algorithm to Fuse Complete Features in
Convolutional Neural Network,
MMMod16(II: 39-46).
Springer DOI
1601
BibRef
Liu, S.[Sifei],
Yang, J.[Jimei],
Huang, C.[Chang],
Yang, M.H.[Ming-Hsuan],
Multi-objective convolutional learning for face labeling,
CVPR15(3451-3459)
IEEE DOI
1510
BibRef
Sun, Y.[Yi],
Wang, X.G.[Xiao-Gang],
Tang, X.[Xiaoou],
Deeply learned face representations are sparse, selective, and robust,
CVPR15(2892-2900)
IEEE DOI
1510
BibRef
Lo, H.Z.,
Cohen, J.P.,
Ding, W.[Wei],
Prediction gradients for feature extraction and analysis from
convolutionalat neural networks,
FG15(1-6)
IEEE DOI
1508
computer vision
BibRef
Tsai, Y.H.[Yao-Hung],
Hsu, H.M.[Hung-Ming],
Hou, C.A.[Cheng-An],
Wang, Y.C.F.[Yu-Chiang Frank],
Person-specific domain adaptation with applications to heterogeneous
face recognition,
ICIP14(338-342)
IEEE DOI
1502
Adaptation models
BibRef
Hou, C.A.[Cheng-An],
Yang, M.C.[Min-Chun],
Wang, Y.C.F.[Yu-Chiang Frank],
Domain Adaptive Self-Taught Learning for Heterogeneous Face
Recognition,
ICPR14(3068-3073)
IEEE DOI
1412
Dictionaries
BibRef
Agarwal, V.,
Bhanot, S.,
Evolutionary design of Multiquadric radial basis functions neural
network for face recognition,
NCVPRIPG13(1-5)
IEEE DOI
1408
evolutionary computation
BibRef
Barreto, R.M.[Rafael M.],
Ren, T.I.[Tsang Ing],
Cavalcanti, G.D.C.[George D. C.],
L2-Norm metric learning applied to unconstrained face pair-matching,
ICIP12(581-584).
IEEE DOI
1302
BibRef
Dragoni, A.F.[Aldo Franco],
Vallesi, G.[Germano],
Baldassarri, P.[Paola],
A Continuous Learning in a Changing Environment,
CIAP11(II: 79-88).
Springer DOI
1109
Combine multiple Neural networks with Bayes rule for face recognition.
BibRef
Ren, Y.[Yong],
Iftekharuddin, K.M.[Khan M.],
White, W.E.[William E.],
Recurrent network-based face recognition using image sequences,
CIMSVP09(41-46).
IEEE DOI
0903
BibRef
Gharai, S.,
Thakur, S.,
Lahiri, S.,
Sing, J.K.,
Basu, D.K.,
Nasipuri, M.,
Kundu, M.,
Self-adaptive RBF Neural Networks for Face Recognition,
ISVC06(I: 353-362).
Springer DOI
0611
BibRef
Wang, Y.H.[Yun-Hong],
Wang, Y.D.[Yi-Ding],
Jain, A.K.[Anil K.],
Tan, T.N.[Tie-Niu],
Face Verification Based on Bagging RBF Networks,
ICB06(69-77).
Springer DOI
0601
BibRef
Kurita, T.,
Pic, M.,
Takahashi, T.,
Recognition and detection of occluded faces by a neural network
classifier with recursive data reconstruction,
AVSBS03(53-58).
WWW Link.
0310
BibRef
Singh, R.K.,
Rajagopalan, A.N.,
Background learning for robust face recognition,
ICPR02(III: 525-528).
IEEE DOI
0211
BibRef
Fasel, B.,
Robust face analysis using convolutional neural networks,
ICPR02(II: 40-43).
IEEE DOI
0211
BibRef
Pujol, A.,
Wechsler, H.,
Villanueva, J.J.,
Learning and caricaturing the face space using self-organization and
Hebbian learning for face processing,
CIAP01(273-278).
WWW Link.
0210
BibRef
Howell, A.J.[A. Jonathan],
Buxton, H.[Hilary],
Towards unconstrained face recognition from image sequences,
AFGR96(224-229).
IEEE DOI
9610
BibRef
And:
Face Recognition using Radial Basis Function Neural Networks,
BMVC96(Poster Session 2).
9608
University of Sussex
BibRef
Duvdevani-Bar, S.,
Edelman, S.,
Howell, A.J.,
Buxton, H.,
Similarity-Based Method for the Generalization of Face Recognition over
Pose and Expression,
AFGR98(118-123).
IEEE DOI
BibRef
9800
Kerin, M.A.,
Stonham, T.J.,
Face recognition using a digital neural network with self-organising
capabilities,
ICPR90(I: 738-741).
IEEE DOI
9006
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis, Profiles .