A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition

Keywords

Pattern recognition (psychology), Sample (material), Artificial intelligence, Facial recognition system, Representation (politics)

References

• Learning a hierarchy of classifiers for multi-class shape detectionDonald Geman, Xiaodong Fan — 2006
• Nonparametric classification based on local mean and class statisticsYong Zeng, Yupu Yang, Liang Zhao — 2009
• Sparse subspace clusteringEhsan Elhamifar, René Vidal — 2009
• Improvement of reliability in banknote classification using reject option and local PCAAli Ahmadi, Sigeru Omatu, Toru Fujinaka — 2004
• Sparse Local Discriminant Projections for Feature ExtractionZhihui Lai, Zhong Jin, Jian Yang — 2010
• A Multifactor Extension of Linear Discriminant Analysis for Face Recognition under Varying Pose and IlluminationSung Won Park, Marios Savvides — 2010
• Represent and fuse bimodal biometric images at the feature level: complex-matrix-based fusion schemeDavid Zhang — 2010
• An approach for directly extracting features from matrix data and its application in face recognitionYong Xu, David Zhang, Jian Yang — 2008
• Sparse discriminant analysis for breast cancer biomarker identification and classificationYu Shi, Dao‐Qing Dai, Chao-Chun Liu — 2009
• A method for speeding up feature extraction based on KPCAYong Xu, David Zhang, Fengxi Song — 2007
• Sparse Representation for Computer Vision and Pattern RecognitionJohn Wright, Yi Ma, Julien Mairal — 2010
• Improved system for object detection and star/galaxy classification via local subspace analysisZhiyong Liu, Kai-Chun Chiu, Lei Xu — 2003
• Robust kernel principal component analysis and classificationMichiel Debruyne, Tim Verdonck — 2010
• Down-Sampling Face Images and Low-Resolution Face RecognitionYong Xu, Zhong Jin — 2008
• Two-dimensional PCA: a new approach to appearance-based face representation and recognitionJian Yang, David Zhang, Alejandro F. Frangi — 2004
• Robust estimation of foreground in surveillance videos by sparse error estimationMert Dikmen, Thomas S. Huang — 2008
• An introduction to kernel-based learning algorithmsK. Müller, S. Mika, Gunnar Rätsch — 2001
• Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant AnalysisMasashi Sugiyama — 2007
• The FERET evaluation methodology for face-recognition algorithmsP. Jonathon Phillips, Hyeonjoon Moon, Syed A. Rizvi — 1997
• Sparse Kernel Principal Component AnalysisMichael E. Tipping — 2000

Cited by

• Grassmann Learning for Recognition and ClassificationSherif Azary — 2014
• Penalized collaborative representation based classification for face recognitionWei Huang, Xiaohui Wang, Zhong Jin — 2015
• Automatic facial attribute analysis via adaptive sparse representation of random patchesDomingo Mery, Kevin W. Bowyer — 2015
• Face Recognition Using A Low Rank Representation Based Projections MethodZhenyu Wang, Wankou Yang, Fumin Shen — 2016
• Robust face recognition using sparse representation in LDA spaceAlessandro Adamo, Giuliano Grossi, Raffaella Lanzarotti — 2015
• A nearest neighbor classifier based on virtual test samples for face recognitionNingbo Zhu, Ting Xu, Lei Wei — 2015
• Global linear regression coefficient classifier for recognitionQingxiang Feng, Xingjie Zhu, Jeng‐Shyang Pan — 2015
• Selective Algorithm Outline (SAO); An Alternative Approach for Fusing Different Palm-Print Recognition AlgorithmsMohsen Tabejamaat — 2016
• Multiple representations and sparse representation for image classificationYong Xu, Bob Zhang, Zuofeng Zhong — 2015
• Double-orientation code and nonlinear matching scheme for palmprint recognitionLunke Fei, Yong Xu, Wenliang Tang — 2016
• Representative Vector Machines: A Unified Framework for Classical ClassifiersJie Gui, Tongliang Liu, Dacheng Tao — 2016
• Near infrared hand vein image acquisition and ROI extraction algorithmQi Zhu, Zheng Zhang, Ningzhong Liu — 2015
• Individualized boosting learning for classificationZizhu Fan, Ming Ni — 2015
• Improved minimum squared error method for robust classificationFangzhi Zhu, Rui Yan, Yong Sun — 2014
• Efficient Background Modeling Based on Sparse Representation and Outlier Iterative RemovalLinhao Li, Ping Wang, Qinghua Hu — 2014
• Binary Representation for Face Detection and Recognition with Back Propagation Neural NetworkRaviraj Mane, Nisha Auti — 2014
• Review on data uncertainty in face recognition using appearance-based methodsShubhangi G. Khadse, P. S. Mohod — 2015
• Nonnegative linear reconstruction measure based face recognition systemJie Xu, Kan Xie, Zhiyu Wang — 2015
• Integrating the original and approximate face images to perform collaborative representation based classificationZhonghua Liu, Moli Zhang, Jiexin Pu — 2015
• Robust kernel collaborative representation for face recognitionWei Huang, Xiaohui Wang, Yanbo Ma — 2015

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