Least-Squares Regulation Based Graph Embedding
暂无分享,去创建一个
[1] 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).
[2] Shuicheng Yan,et al. Neighborhood preserving embedding , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[3] Yuxiao Hu,et al. Face recognition using Laplacianfaces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Yinglin Wang,et al. Low rank approximation with sparse integration of multiple manifolds for data representation , 2014, Applied Intelligence.
[6] Xuelong Li,et al. Patch Alignment for Dimensionality Reduction , 2009, IEEE Transactions on Knowledge and Data Engineering.
[7] Jeng-Shyang Pan,et al. Kernel class-wise locality preserving projection , 2008, Inf. Sci..
[8] Nicolas Le Roux,et al. Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering , 2003, NIPS.
[9] Yu Qiao,et al. Face recognition based on gradient gabor feature and Efficient Kernel Fisher analysis , 2010, Neural Computing and Applications.
[10] Edwin R. Hancock,et al. Spectral embedding of graphs , 2003, Pattern Recognit..
[11] Xiaoyang Tan,et al. Pattern Recognition , 2016, Communications in Computer and Information Science.
[12] Ziqiang Wang,et al. Face Recognition Using Kernel-Based NPE , 2008, 2008 International Conference on Computer Science and Software Engineering.
[13] Jiwen Lu,et al. Regularized Locality Preserving Projections and Its Extensions for Face Recognition , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[14] Huijun Gao,et al. Sparse data-dependent kernel principal component analysis based on least squares support vector machine for feature extraction and recognition , 2011, Neural Computing and Applications.
[15] Fernando De la Torre,et al. A Least-Squares Framework for Component Analysis , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Jian Yang,et al. Constructing PCA Baseline Algorithms to Reevaluate ICA-Based Face-Recognition Performance , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[17] Jian Yang,et al. BDPCA plus LDA: a novel fast feature extraction technique for face recognition , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[18] Anil K. Jain,et al. Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[19] Kun Zhou,et al. Locality Sensitive Discriminant Analysis , 2007, IJCAI.