标题
Integrating Conventional and Inverse Representation for Face Recognition
作者
关键词
-
出版物
IEEE Transactions on Cybernetics
Volume 44, Issue 10, Pages 1738-1746
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2014-02-01
DOI
10.1109/tcyb.2013.2293391
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Integrate the original face image and its mirror image for face recognition
- (2013) Yong Xu et al. NEUROCOMPUTING
- Biview face recognition in the shape–texture domain
- (2013) Bing Xiao et al. PATTERN RECOGNITION
- Face Sketch–Photo Synthesis and Retrieval Using Sparse Representation
- (2012) Xinbo Gao et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Feature Selection for Multimedia Analysis by Sharing Information Among Multiple Tasks
- (2012) Yi Yang et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Multiview Face Recognition: From TensorFace to V-TensorFace and K-TensorFace
- (2012) Chunna Tian et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Bidirectional representation for face recognition across pose
- (2012) Jinrong Cui NEURAL COMPUTING & APPLICATIONS
- Feature space-based human face image representation and recognition
- (2012) Yong Xu OPTICAL ENGINEERING
- Sparse Approximation to the Eigensubspace for Discrimination
- (2012) Zhihui Lai et al. IEEE Transactions on Neural Networks and Learning Systems
- A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition
- (2011) Yong Xu et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Efficient Sparse Generalized Multiple Kernel Learning
- (2011) Haiqin Yang et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments
- (2011) Yong Xu et al. NEUROCOMPUTING
- Supervised sparse representation method with a heuristic strategy and face recognition experiments
- (2011) Yong Xu et al. NEUROCOMPUTING
- Kernel sparse representation based classification
- (2011) Jun Yin et al. NEUROCOMPUTING
- Bimodal biometrics based on a representation and recognition approach
- (2011) Yong Xu OPTICAL ENGINEERING
- Beyond sparsity: The role of L1-optimizer in pattern classification
- (2011) Jian Yang et al. PATTERN RECOGNITION
- Robust regression for face recognition
- (2011) Imran Naseem et al. PATTERN RECOGNITION
- Linear Regression for Face Recognition
- (2010) Imran Naseem et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Graph-Preserving Sparse Nonnegative Matrix Factorization With Application to Facial Expression Recognition
- (2010) Ruicong Zhi et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Pose invariant virtual classifiers from single training image using novel hybrid-eigenfaces
- (2010) Abhishek Sharma et al. NEUROCOMPUTING
- Sparse two-dimensional local discriminant projections for feature extraction
- (2010) Zhihui Lai et al. NEUROCOMPUTING
- Sparse Representation for Computer Vision and Pattern Recognition
- (2010) John Wright et al. PROCEEDINGS OF THE IEEE
- Fast Haar Transform Based Feature Extraction for Face Representation and Recognition
- (2009) Yanwei Pang et al. IEEE Transactions on Information Forensics and Security
- Robust Face Recognition via Sparse Representation
- (2009) J. Wright et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Improved Face Representation by Nonuniform Multilevel Selection of Gabor Convolution Features
- (2009) Shan Du et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Regularized Locality Preserving Projections and Its Extensions for Face Recognition
- (2009) Jiwen Lu et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Sparse discriminant analysis for breast cancer biomarker identification and classification
- (2009) Yu Shi et al. Progress in Natural Science-Materials International
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