Supervised Filter Learning for Representation Based Face Recognition
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Chao Bi | Miao Qi | Baoxue Zhang | Lei Zhang | Jianzhong Wang | Caixia Zheng | Yugen Yi | Miao Qi | Yugen Yi | Baoxue Zhang | Caixia Zheng | Jianzhong Wang | Chao Bi | Lei Zhang
[1] Wen Gao,et al. Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[2] Zi-Lu Ying,et al. A new method for facial expression recognition based on sparse representation plus LBP , 2010, 2010 3rd International Congress on Image and Signal Processing.
[3] Mohammed Bennamoun,et al. Linear Regression for Face Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Shengcai Liao,et al. Kernel sparse representation with local patterns for face recognition , 2011, 2011 18th IEEE International Conference on Image Processing.
[5] Jieping Ye,et al. A two-stage linear discriminant analysis via QR-decomposition , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Aleix M. Martínez,et al. Subclass discriminant analysis , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[8] Stan Z. Li,et al. Discriminant image filter learning for face recognition with local binary pattern like representation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Wen Gao,et al. Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition , 2007, IEEE Transactions on Image Processing.
[10] Liang-Tien Chia,et al. Kernel Sparse Representation for Image Classification and Face Recognition , 2010, ECCV.
[11] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[12] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[13] Alejandro F. Frangi,et al. Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004 .
[14] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[15] Haesun Park,et al. Generalizing discriminant analysis using the generalized singular value decomposition , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Jian Yang,et al. Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[18] SchmidCordelia,et al. A Performance Evaluation of Local Descriptors , 2005 .
[19] Matti Pietikäinen,et al. Learning Discriminant Face Descriptor , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Zhong Jin,et al. Feature Extraction Based on Maximum Nearest Subspace Margin Criterion , 2013, Neural Processing Letters.
[21] P. N. Bellhumer. Eigenfaces vs. fisherfaces : Recognition using class specific linear projection , 1997 .
[22] Dima Damen,et al. Recognizing linked events: Searching the space of feasible explanations , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Zhong Jin,et al. Face recognition using discriminant sparsity neighborhood preserving embedding , 2012, Knowl. Based Syst..
[24] Zhihan Lv,et al. Towards a face recognition method based on uncorrelated discriminant sparse preserving projection , 2017, Multimedia Tools and Applications.
[25] Jian Yang,et al. Robust sparse coding for face recognition , 2011, CVPR 2011.
[26] Aleix M. Martinez,et al. The AR face database , 1998 .
[27] Alex Pentland,et al. View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[28] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[29] Jun Guo,et al. Extended SRC: Undersampled Face Recognition via Intraclass Variant Dictionary , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Penio S. Penev,et al. Local feature analysis: A general statistical theory for object representation , 1996 .
[31] David Zhang,et al. Bimodal biometrics based on a representation and recognition approach , 2011 .
[32] Matti Pietikäinen,et al. Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Cordelia Schmid,et al. A performance evaluation of local descriptors , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Jean-Luc Dugelay,et al. Improved combination of LBP and sparse representation based classification (SRC) for face recognition , 2011, 2011 IEEE International Conference on Multimedia and Expo.
[35] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[36] Matti Pietikäinen,et al. A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..
[37] Terence Sim,et al. The CMU Pose, Illumination, and Expression (PIE) database , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[38] Jin-Xing Liu,et al. Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace , 2013, PloS one.
[39] B. Scholkopf,et al. Fisher discriminant analysis with kernels , 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).
[40] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[42] Anil K. Jain,et al. Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[43] Wen Gao,et al. Review the strength of Gabor features for face recognition from the angle of its robustness to mis-alignment , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[44] Stephen Lin,et al. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] Jeongnyeo Kim,et al. Face Image Retrieval Using Sparse Representation Classifier with Gabor-LBP Histogram , 2010, WISA.
[46] Matti Pietikäinen,et al. Face Recognition by Exploring Information Jointly in Space, Scale and Orientation , 2011, IEEE Transactions on Image Processing.
[47] Yajie Tian,et al. Handbook of face recognition , 2003 .
[48] David J. Kriegman,et al. The yale face database , 1997 .