KinFaceW-I under the restricted configuration ,
KinFaceW-II under the restricted configuration in the FG 2015 Kinship Verification Evaluation, Table 4.9 Kinship verification accuracy (%) on ,
T: training TSML on similar pairs only with initialization matrix W 0 = T, where T is the WCCN matrix ,
Table 4.7 shows the five teams participating in this evaluation, note that our team is labeled as LIRIS, indicating results of the TSML- Sim-T method. Tables 4.8 and 4.9 present the verification accuracies of different methods References Face recognition with local binary patterns, Kinship Verification in the Wild Evaluation [112] Computer Vision-ECCV 2004, pp.469-481, 2004. ,
Introduction to machine learning, 2014. ,
Efficient processing of MRFs for unconstrained-pose face recognition, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp.1-8, 2013. ,
DOI : 10.1109/BTAS.2013.6712721
Class-specific kernel fusion of multiple descriptors for face verification using multiscale binarised statistical image features. Information Forensics and Security, IEEE Transactions on, vol.9, issue.12, pp.2100-2109, 2014. ,
Modern information retrieval, 1999. ,
Neural Networks for Fingerprint Recognition, Neural Computation, vol.2, issue.4, pp.402-418, 1993. ,
DOI : 10.1162/neco.1993.5.3.402
URL : http://authors.library.caltech.edu/12477/1/BALnc93.pdf
Learning a mahalanobis metric from equivalence constraints, Journal of Machine Learning Research, vol.6, issue.6, pp.937-965, 2005. ,
Fast High Dimensional Vector Multiplication Face Recognition, 2013 IEEE International Conference on Computer Vision, pp.1960-1967, 2013. ,
DOI : 10.1109/ICCV.2013.246
The LION Way: Machine Learning plus Intelligent Optimization, LIONlab, 2014. ,
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems, SIAM Journal on Imaging Sciences, vol.2, issue.1, pp.183-202, 2009. ,
DOI : 10.1137/080716542
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.231.3271
Robustness and generalization for metric learning, Neurocomputing, vol.151, issue.1, pp.259-267, 2015. ,
DOI : 10.1016/j.neucom.2014.09.044
URL : https://hal.archives-ouvertes.fr/hal-01075370
Good edit similarity learning by loss minimization, Machine Learning, pp.5-35, 2012. ,
DOI : 10.1137/0218082
URL : https://hal.archives-ouvertes.fr/hal-00690240
A survey on metric learning for feature vectors and structured data. arXiv preprint, 2013. ,
Metric Learning, Synthesis Lectures on Artificial Intelligence and Machine Learning, pp.1-151, 2015. ,
DOI : 10.2200/S00626ED1V01Y201501AIM030
URL : https://hal.archives-ouvertes.fr/hal-01121733
Learning deep architectures for AI. Foundations and trends® in, Machine Learning, pp.1-127, 2009. ,
DOI : 10.1561/2200000006
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.527
Deep learning. Book in preparation for, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-00752091
Tom-vs-Pete Classifiers and Identity-Preserving Alignment for Face Verification, Procedings of the British Machine Vision Conference 2012, p.7, 2012. ,
DOI : 10.5244/C.26.129
URL : http://www.bmva.org/bmvc/2012/BMVC/paper129/paper129.pdf
Siamese neural network based similarity metric for inertial gesture classification and rejection, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2015. ,
DOI : 10.1109/FG.2015.7163112
URL : https://hal.archives-ouvertes.fr/hal-01179993
On the Goldstein-Levitin-Polyak gradient projection method, IEEE Transactions on Automatic Control, vol.21, issue.2, pp.174-184, 1976. ,
DOI : 10.1109/TAC.1976.1101194
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.433.4404
UCI repository of machine learning databases, 1998. ,
Links between markov models and multilayer perceptrons. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.12, issue.12, pp.1167-1178, 1990. ,
DOI : 10.1109/34.62605
Notes on convolutional neural networks, 2006. ,
Convex optimization, 2004. ,
SIGNATURE VERIFICATION USING A ???SIAMESE??? TIME DELAY NEURAL NETWORK, International Journal of Pattern Recognition and Artificial Intelligence, vol.07, issue.04, pp.669-688, 1993. ,
DOI : 10.1142/S0218001493000339
Asymmetric Learning and Dissimilarity Spaces for Content-Based Retrieval, Image and Video Retrieval, pp.330-339, 2006. ,
DOI : 10.1007/11788034_34
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.68.7278
Similarity Metric Learning for Face Recognition, 2013 IEEE International Conference on Computer Vision, pp.2408-2415, 2013. ,
DOI : 10.1109/ICCV.2013.299
LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, p.27, 2011. ,
DOI : 10.1145/1961189.1961199
An online algorithm for large scale image similarity learning, Advances in Neural Information Processing Systems, pp.306-314, 2009. ,
Large Scale Online Learning of Image Similarity through Ranking, The Journal of Machine Learning Research, vol.18, pp.1109-1135, 2010. ,
DOI : 10.1145/1390156.1390302
Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.3025-3032, 2013. ,
DOI : 10.1109/CVPR.2013.389
Extracting speaker-specific information with a regularized siamese deep network, Advances in Neural Information Processing Systems, pp.298-306, 2011. ,
Learning a Similarity Metric Discriminatively, with Application to Face Verification, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.539-546, 2005. ,
DOI : 10.1109/CVPR.2005.202
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.71.6392
Empath: face, emotion, and gender recognition using holons, Advances in Neural Information Processing Systems, pp.564-571, 1990. ,
Nearest neighbor pattern classification. Information Theory, IEEE Transactions on, vol.13, issue.1, pp.21-27, 1967. ,
DOI : 10.1109/tit.1967.1053964
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.68.2616
Online passive-aggressive algorithms, The Journal of Machine Learning Research, vol.7, pp.551-585, 2006. ,
Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.3554-3561, 2013. ,
DOI : 10.1109/CVPR.2013.456
Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.886-893, 2005. ,
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512
Complete discrete 2-d gabor transforms by neural networks for image analysis and compression. Acoustics, Speech and Signal Processing, IEEE Transactions on, vol.36, issue.7, pp.1169-1179, 1988. ,
DOI : 10.1109/29.1644
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.371.5847
Information-theoretic metric learning, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.209-216, 2007. ,
DOI : 10.1145/1273496.1273523
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.4476
Front-end factor analysis for speaker verification. Audio, Speech, and Language Processing, IEEE Transactions on, vol.19, issue.4, pp.788-798, 2011. ,
DOI : 10.1109/tasl.2010.2064307
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.6948
Hierarchical semantic indexing for large scale image retrieval, CVPR 2011, pp.785-792, 2011. ,
DOI : 10.1109/CVPR.2011.5995516
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.225.6901
Gabor-Eigen-Whiten-Cosine: A Robust Scheme for Face Recognition, Analysis and Modelling of Faces and Gestures, pp.336-349, 2005. ,
DOI : 10.1007/11564386_26
Face image analysis with convolutional neural networks, 2008. ,
Principal components analysis, 1989. ,
DOI : 10.4135/9781412985475
Signal recovery from pooling representations, Proceedings of the 31st International Conference on Machine Learning (ICML-14), pp.307-315, 2014. ,
Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video, Procedings of the British Machine Vision Conference 2006, p.6, 2006. ,
DOI : 10.5244/C.20.92
Learning deep face representation. arXiv preprint, 2014. ,
DOI : 10.1145/2647868.2654960
Large margin classification using the perceptron algorithm, Proceedings of the eleventh annual conference on Computational learning theory , COLT' 98, pp.277-296, 1999. ,
DOI : 10.1145/279943.279985
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.48.8200
Convolutional face finder: A neural architecture for fast and robust face detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.26, issue.11, pp.1408-1423, 2004. ,
DOI : 10.1109/tpami.2004.97
BIOMET: A Multimodal Person Authentication Database Including Face, Voice, Fingerprint, Hand and Signature Modalities, Audio-and Video-Based Biometric Person Authentication, pp.1056-1056, 2003. ,
DOI : 10.1007/3-540-44887-X_98
From few to many: Illumination cone models for face recognition under variable lighting and pose. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.23, issue.6, pp.643-660, 2001. ,
DOI : 10.1109/34.927464
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.127.3126
Metric learning by collapsing classes, Advances in neural information processing systems, pp.451-458, 2005. ,
Understanding the difficulty of training deep feedforward neural networks, International conference on artificial intelligence and statistics, pp.249-256, 2010. ,
Deep sparse rectifier neural networks, International Conference on Artificial Intelligence and Statistics, pp.315-323, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00752497
Neighbourhood components analysis, Advances in neural information processing systems, pp.513-520, 2004. ,
Sexnet: A neural network identifies sex from human faces, Advances in Neural Information Processing Systems, pp.572-579, 1991. ,
Towards end-to-end speech recognition with recurrent neural networks, Proceedings of the 31st International Conference on Machine Learning (ICML-14), pp.1764-1772, 2014. ,
The NIST 2014 speaker recognition i-vector machine learning challenge, Odyssey: The Speaker and Language Recognition Workshop, 2014. ,
TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation, 2009 IEEE 12th International Conference on Computer Vision, pp.309-316, 2009. ,
DOI : 10.1109/ICCV.2009.5459266
URL : https://hal.archives-ouvertes.fr/inria-00439276
Is that you? Metric learning approaches for face identification, 2009 IEEE 12th International Conference on Computer Vision, pp.498-505, 2009. ,
DOI : 10.1109/ICCV.2009.5459197
URL : https://hal.archives-ouvertes.fr/inria-00439290
3D non-rigid pattern recognition based on structural analysis, 2014 IEEE International Conference on Image Processing (ICIP), pp.3131-3135, 2014. ,
DOI : 10.1109/ICIP.2014.7025633
URL : https://hal.archives-ouvertes.fr/lirmm-01379582
Dimensionality Reduction by Learning an Invariant Mapping, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.1735-1742, 2006. ,
DOI : 10.1109/CVPR.2006.100
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.5702
Effective face frontalization in unconstrained images. arXiv preprint, 2014. ,
DOI : 10.1109/cvpr.2015.7299058
URL : http://arxiv.org/abs/1411.7964
Within-class covariance normalization for svm-based speaker recognition, 2006. ,
Generalized Linear Kernels for One-Versus-All Classification: Application to Speaker Recognition, 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006. ,
DOI : 10.1109/ICASSP.2006.1661343
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.69.2807
Description of Interest Regions with Center-Symmetric Local Binary Patterns, Computer Vision, Graphics and Image Processing, pp.58-69, 2006. ,
DOI : 10.1007/11949619_6
Accuracy and stability of numerical algorithms, 2002. ,
DOI : 10.1137/1.9780898718027
Reducing the Dimensionality of Data with Neural Networks, Science, vol.313, issue.5786, pp.313504-507, 2006. ,
DOI : 10.1126/science.1127647
Discriminative Deep Metric Learning for Face Verification in the Wild, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.1875-1882, 2014. ,
DOI : 10.1109/CVPR.2014.242
Deep transfer metric learning, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.325-333, 2015. ,
DOI : 10.1109/tip.2016.2612827
Large Margin Multi-metric Learning for Face and Kinship Verification in the Wild, Computer Vision?ACCV 2014, pp.252-267, 2015. ,
DOI : 10.1007/978-3-319-16811-1_17
Large scale strongly supervised ensemble metric learning, with applications to face verification and retrieval. arXiv preprint, 2012. ,
Unsupervised Joint Alignment of Complex Images, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007. ,
DOI : 10.1109/ICCV.2007.4408858
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.464.8754
Labeled faces in the wild: Updates and new reporting procedures, Dept. Comput. Sci, pp.14-17, 2014. ,
Labeled faces in the wild: A database for studying face recognition in unconstrained environments, 2007. ,
Face Recognition using Local Quantized Patterns, Procedings of the British Machine Vision Conference 2012, p.11, 2012. ,
DOI : 10.5244/C.26.99
URL : https://hal.archives-ouvertes.fr/hal-00806104
Independent component analysis: algorithms and applications, Neural Networks, vol.13, issue.4-5, pp.411-430, 2000. ,
DOI : 10.1016/S0893-6080(00)00026-5
Online metric learning and fast similarity search, Advances in neural information processing systems, pp.761-768, 2009. ,
Caffe, Proceedings of the ACM International Conference on Multimedia, MM '14, pp.675-678, 2014. ,
DOI : 10.1145/2647868.2654889
Side-Information based Linear Discriminant Analysis for Face Recognition, Procedings of the British Machine Vision Conference 2011, pp.125-126, 2011. ,
DOI : 10.5244/C.25.125
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.7608
Pca-sift: A more distinctive representation for local image descriptors, Computer Vision and Pattern Recognition, p.506, 2004. ,
Nonlinear metric learning, Advances in Neural Information Processing Systems, pp.2573-2581, 2012. ,
A study of interspeaker variability in speaker verification. Audio, Speech, and Language Processing, IEEE Transactions on, vol.16, issue.5, pp.980-988, 2008. ,
Statistical significance tests for machine translation evaluation, EMNLP, pp.388-395, 2004. ,
Iris identification using wavelet packets Imagenet classification with deep convolutional neural networks, Pattern Recognition Proceedings of the 17th International Conference on Advances in neural information processing systems, pp.335-338, 2004. ,
Metric Learning: A Survey, Machine Learning, pp.287-364, 2012. ,
DOI : 10.1561/2200000019
Text-dependent speaker verification: Classifiers, databases and RSR2015, Speech Communication, vol.60, pp.56-77, 2014. ,
DOI : 10.1016/j.specom.2014.03.001
URL : http://doi.org/10.1016/j.specom.2014.03.001
Quadruplet-Wise Image Similarity Learning, 2013 IEEE International Conference on Computer Vision, pp.249-256, 2013. ,
DOI : 10.1109/ICCV.2013.38
URL : https://hal.archives-ouvertes.fr/hal-01094069
Fantope Regularization in Metric Learning, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.1051-1058, 2014. ,
DOI : 10.1109/CVPR.2014.138
URL : https://hal.archives-ouvertes.fr/hal-01094074
Face recognition: a convolutional neural-network approach, IEEE Transactions on Neural Networks, vol.8, issue.1, pp.98-113, 1997. ,
DOI : 10.1109/72.554195
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.6420
Exemplar based metric learning for robust visual localization, 2015 IEEE International Conference on Image Processing (ICIP), pp.4342-4346, 2015. ,
DOI : 10.1109/ICIP.2015.7351626
URL : https://hal.archives-ouvertes.fr/hal-01198662
Labeled Faces in the Wild: A Survey, 2015. ,
DOI : 10.1007/978-3-319-25958-1_8
Handwritten digit recognition with a back-propagation network, Advances in neural information processing systems, 1990. ,
Convolutional networks for images, speech, and time series. The handbook of brain theory and neural networks, p.3361, 1995. ,
Gradient-based learning applied to document recognition, Proceedings of the IEEE, pp.2278-2324, 1998. ,
DOI : 10.1109/5.726791
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.1115
A tutorial on energy-based learning, 2006. ,
Convolutional networks and applications in vision, Proceedings of 2010 IEEE International Symposium on Circuits and Systems, pp.253-256, 2010. ,
DOI : 10.1109/ISCAS.2010.5537907
Deep learning, Nature, vol.9, issue.7553, pp.436-444, 2015. ,
DOI : 10.1007/s10994-013-5335-x
Efficient backprop, Neural networks: Tricks of the trade, pp.9-48, 2012. ,
Hierarchical-PEP model for real-world face recognition, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.4055-4064, 2015. ,
DOI : 10.1109/CVPR.2015.7299032
Probabilistic Elastic Matching for Pose Variant Face Verification, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.3499-3506, 2013. ,
DOI : 10.1109/CVPR.2013.449
URL : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.383.2684&rep=rep1&type=pdf
Eigen-PEP for Video Face Recognition, Computer Vision?ACCV 2014, pp.17-33, 2015. ,
DOI : 10.1007/978-3-319-16811-1_2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.6062
Non-sparse linear representations for visual tracking with online reservoir metric learning, Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pp.1760-1767, 2012. ,
An extended set of Haar-like features for rapid object detection, Proceedings. International Conference on Image Processing, p.900, 2002. ,
DOI : 10.1109/ICIP.2002.1038171
Review of Neural Networks for Speech Recognition, Neural Computation, vol.1, issue.1, pp.1-38, 1989. ,
DOI : 10.1016/0893-6080(88)90341-3
A critical review of recurrent neural networks for sequence learning, 2015. ,
On the limited memory BFGS method for large scale optimization, Mathematical Programming, pp.1-3503, 1989. ,
DOI : 10.1007/BF01589116
Deep Learning Face Attributes in the Wild, 2015 IEEE International Conference on Computer Vision (ICCV), 2015. ,
DOI : 10.1109/ICCV.2015.425
Least squares quantization in PCM. Information Theory, IEEE Transactions on, vol.28, issue.2, pp.129-137, 1982. ,
DOI : 10.1109/tit.1982.1056489
URL : http://www.cs.toronto.edu/~roweis/csc2515-2006/readings/lloyd57.pdf
Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004. ,
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931
The FG 2015 kinship verification in the wild evaluation, 11th IEEE International Conference on Automatic Face and Gesture Recognition, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01158942
Kinship verification in the wild: The first kinship verification competition, IEEE International Joint Conference on Biometrics, pp.1-6, 2014. ,
DOI : 10.1109/BTAS.2014.6996230
Neighborhood repulsed metric learning for kinship verification. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.36, issue.2, pp.331-345, 2014. ,
Introduction to linear and nonlinear programming, 1973. ,
Information theory, inference and learning algorithms, 2003. ,
The AR face database, CVC Technical Report, p.24, 1998. ,
Comparison of face verification results on the XM2VTFS database, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, pp.858-863, 2000. ,
DOI : 10.1109/ICPR.2000.903052
Metric learning to rank, Proceedings of the 27th International Conference on Machine Learning, pp.775-782, 2010. ,
Introduction to topology. Courier Corporation, 1990. ,
Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost, Proceedings of the 12th European Conference on Computer Vision, pp.488-501, 2012. ,
DOI : 10.1007/978-3-642-33709-3_35
URL : https://hal.archives-ouvertes.fr/hal-00722313
Deep learning from temporal coherence in video, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pp.737-744, 2009. ,
DOI : 10.1145/1553374.1553469
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.5771
Rectified linear units improve restricted boltzmann machines, Proceedings of the 27th International Conference on Machine Learning (ICML-10), pp.807-814, 2010. ,
On spectral clustering: Analysis and an algorithm Advances in neural information processing systems, pp.849-856, 2002. ,
Cosine Similarity Metric Learning for Face Verification, Computer Vision?ACCV 2010, pp.709-720, 2011. ,
DOI : 10.1007/11564386_26
Toward automatic phenotyping of developing embryos from videos, IEEE Transactions on Image Processing, vol.14, issue.9, pp.1360-1371, 2005. ,
DOI : 10.1109/TIP.2005.852470
URL : https://hal.archives-ouvertes.fr/hal-00114920
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. Pattern Analysis and Machine Intelligence, IEEE Transactions, issue.7, pp.24971-987, 2002. ,
DOI : 10.1109/tpami.2002.1017623
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.1576
Neural networks: tricks of the trade, 2003. ,
DOI : 10.1007/3-540-49430-8
Multi scale multi descriptor local binary features and exponential discriminant analysis for robust face authentication, 2014 IEEE International Conference on Image Processing (ICIP), pp.313-317, 2014. ,
DOI : 10.1109/ICIP.2014.7025062
Large margin multi-task metric learning, Advances in neural information processing systems, pp.1867-1875, 2010. ,
The matrix cookbook, p.15, 2008. ,
How far can you get with a modern face recognition test set using only simple features? In Computer Vision and Pattern Recognition, IEEE Conference on, pp.2591-2598, 2009. ,
Early stopping -but when?, Neural Networks: Tricks of the Trade, pp.53-67, 2012. ,
DOI : 10.1007/3-540-49430-8_3
Online and Batch Learning of Generalized Cosine Similarities, 2009 Ninth IEEE International Conference on Data Mining, pp.926-931, 2009. ,
DOI : 10.1109/ICDM.2009.114
URL : https://hal.archives-ouvertes.fr/hal-00953853
Similarity Learning for Nearest Neighbor Classification, 2008 Eighth IEEE International Conference on Data Mining, pp.983-988, 2008. ,
DOI : 10.1109/ICDM.2008.81
URL : https://hal.archives-ouvertes.fr/hal-00953867
An efficient sparse metric learning in high-dimensional space via l1-penalized log-determinant regularization, Proceedings of the 26th Annual International Conference on Machine Learning, pp.841-848, 2009. ,
DOI : 10.1145/1553374.1553482
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.8247
Speaker identification and verification using Gaussian mixture speaker models, Speech Communication, vol.17, issue.1-2, pp.91-108, 1995. ,
DOI : 10.1016/0167-6393(95)00009-D
Speaker Verification Using Adapted Gaussian Mixture Models, Digital Signal Processing, vol.10, issue.1-3, pp.19-41, 2000. ,
DOI : 10.1006/dspr.1999.0361
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.338
The FERET verification testing protocol for face recognition algorithms, Automatic Face and Gesture Recognition IEEE International Conference on, pp.48-53, 1998. ,
DOI : 10.6028/NIST.IR.6281
The perceptron: A probabilistic model for information storage and organization in the brain., Psychological Review, vol.65, issue.6, p.386, 1958. ,
DOI : 10.1037/h0042519
Learning internal representations by error propagation, 1985. ,
Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference, Advances in Biometrics, pp.199-208, 2009. ,
DOI : 10.1109/34.598228
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.5678
Minfunc: unconstrained differentiable multivariate optimization in matlab, 2012. ,
Facenet: A unified embedding for face recognition and clustering. arXiv preprint, 2015. ,
DOI : 10.1109/cvpr.2015.7298682
URL : http://arxiv.org/abs/1503.03832
Face verification using the LARK representation. Information Forensics and Security, IEEE Transactions on, vol.6, issue.4, pp.1275-1286, 2011. ,
DOI : 10.1109/tifs.2011.2159205
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.7135
Online and batch learning of pseudo-metrics, Twenty-first international conference on Machine learning , ICML '04, p.94, 2004. ,
DOI : 10.1145/1015330.1015376
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.4045
Adjustment Learning and Relevant Component Analysis, Computer Vision?ECCV 2002, pp.776-790, 2002. ,
DOI : 10.1007/3-540-47979-1_52
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.2871
The CMU Pose, Illumination, and Expression (PIE) database, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition, pp.46-51, 2002. ,
DOI : 10.1109/AFGR.2002.1004130
URL : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.16.1577&rep=rep1&type=pdf
Fisher Vector Faces in the Wild, Procedings of the British Machine Vision Conference 2013, 2013. ,
DOI : 10.5244/C.27.8
Very deep convolutional networks for large-scale image recognition. arXiv preprint, 2014. ,
Efficient visual search of videos cast as text retrieval. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.31, issue.4, pp.591-606, 2009. ,
DOI : 10.1109/tpami.2008.111
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.7283
Consistent nonparametric regression. The annals of statistics, pp.595-620, 1977. ,
DOI : 10.1214/aos/1176343886
URL : http://doi.org/10.1214/aos/1176343886
Deep learning face representation by joint identification-verification, Advances in Neural Information Processing Systems, pp.1988-1996, 2014. ,
DOI : 10.1109/iccv.2013.188
URL : http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Sun_Hybrid_Deep_Learning_2013_ICCV_paper.pdf
DeepID3: Face recognition with very deep neural networks, 2015. ,
Deep Learning Face Representation from Predicting 10,000 Classes, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.1891-1898, 2014. ,
DOI : 10.1109/CVPR.2014.244
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.8205
Deeply learned face representations are sparse, selective, and robust. arXiv preprint, 2014. ,
DOI : 10.1109/cvpr.2015.7298907
URL : http://arxiv.org/abs/1412.1265
Going deeper with convolutions, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1-9, 2015. ,
DOI : 10.1109/CVPR.2015.7298594
URL : http://arxiv.org/abs/1409.4842
Multiple One-Shots for Utilizing Class Label Information, Procedings of the British Machine Vision Conference 2009, pp.1-12, 2009. ,
DOI : 10.5244/C.23.77
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.2975
DeepFace: Closing the Gap to Human-Level Performance in Face Verification, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.1701-1708, 2014. ,
DOI : 10.1109/CVPR.2014.220
Face recognition using eigenfaces, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.586-591, 1991. ,
DOI : 10.1109/CVPR.1991.139758
Vlfeat, Proceedings of the international conference on Multimedia, MM '10, pp.1469-1472, 2010. ,
DOI : 10.1145/1873951.1874249
A tutorial on spectral clustering, Statistics and Computing, vol.21, issue.1, pp.395-416, 2007. ,
DOI : 10.1017/CBO9780511810633
Two-stage metric learning, Proceedings of the 31th International Conference on Machine Learning (ICML), pp.370-378, 2014. ,
A unified framework for subspace face recognition. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.26, issue.9, pp.1222-1228, 2004. ,
Distance metric learning for large margin nearest neighbor classification, Advances in neural information processing systems, pp.1473-1480, 2005. ,
Fast solvers and efficient implementations for distance metric learning, Proceedings of the 25th international conference on Machine learning, ICML '08, pp.1160-1167, 2008. ,
DOI : 10.1145/1390156.1390302
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.8253
Distance metric learning for large margin nearest neighbor classification, The Journal of Machine Learning Research, vol.10, pp.207-244, 2009. ,
Face recognition in unconstrained videos with matched background similarity, CVPR 2011, pp.529-534, 2011. ,
DOI : 10.1109/CVPR.2011.5995566
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.5417
Descriptor based methods in the wild, Workshop on Faces in'Real-Life'Images: Detection, Alignment, and Recognition, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00326729
Laplacian eigenmaps for automatic story segmentation of broadcast news. Audio, Speech, and Language Processing, IEEE Transactions on, vol.20, issue.1, pp.276-289, 2012. ,
Distance metric learning with application to clustering with side-information, Advances in neural information processing systems, pp.505-512, 2002. ,
Discriminative multimetric learning for kinship verification. Information Forensics and Security, IEEE Transactions on, vol.9, issue.7, pp.1169-1178, 2014. ,
DOI : 10.1109/tifs.2014.2327757
Prototype-Based Discriminative Feature Learning for Kinship Verification, IEEE Transactions on Cybernetics, vol.45, issue.11, 2014. ,
DOI : 10.1109/TCYB.2014.2376934
Towards Pose Robust Face Recognition, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.3539-3545, 2013. ,
DOI : 10.1109/CVPR.2013.454
Learning discriminative projections for text similarity measures, Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pp.247-256, 2011. ,
Distance metric learning with eigenvalue optimization, The Journal of Machine Learning Research, vol.13, issue.1, pp.1-26, 2012. ,
Visualizing and Understanding Convolutional Networks, Computer Vision?ECCV 2014, pp.818-833, 2014. ,
DOI : 10.1007/978-3-319-10590-1_53
URL : http://arxiv.org/abs/1311.2901
Face Detection Based on Multi-Block LBP Representation, Advances in biometrics, pp.11-18, 2007. ,
DOI : 10.1007/978-3-540-74549-5_2
Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition, pp.454-459, 1998. ,
DOI : 10.1109/AFGR.1998.670990
Siamese multi-layer perceptrons for dimensionality reduction and face identification, Multimedia Tools and Applications, vol.24, issue.7, 2015. ,
DOI : 10.1109/AFGR.1998.670990
URL : https://hal.archives-ouvertes.fr/hal-01182273
Logistic similarity metric learning for face verification, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015. ,
DOI : 10.1109/ICASSP.2015.7178311
URL : https://hal.archives-ouvertes.fr/hal-01158949
Triangular similarity metric learning for face verification, 11th IEEE International Conference on Automatic Face and Gesture Recognition, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01158908
Acoustic TextTiling for story segmentation of spoken documents, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5121-5124, 2012. ,
DOI : 10.1109/ICASSP.2012.6289073
Naive-deep face recognition: Touching the limit of LFW benchmark or not? arXiv preprint, 2015. ,
Recover canonical-view faces in the wild with deep neural networks, 2014. ,