Pairwise-Covariance Linear Discriminant Analysis
暂无分享,去创建一个
[1] Delin Chu,et al. Sparse Uncorrelated Linear Discriminant Analysis , 2013, ICML.
[2] Jieping Ye,et al. Efficient Kernel Discriminant Analysis via QR Decomposition , 2004, NIPS.
[3] Alan Edelman,et al. The Geometry of Algorithms with Orthogonality Constraints , 1998, SIAM J. Matrix Anal. Appl..
[4] Jieping Ye,et al. Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments , 2010 .
[5] Jieping Ye,et al. Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems , 2005, J. Mach. Learn. Res..
[6] Masashi Sugiyama,et al. Local Fisher discriminant analysis for supervised dimensionality reduction , 2006, ICML.
[7] Hua Li,et al. IMMC: incremental maximum margin criterion , 2004, KDD.
[8] 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).
[9] Yong Jae Lee,et al. Foreground Focus: Unsupervised Learning from Partially Matching Images , 2009, International Journal of Computer Vision.
[10] Guanhua Yan,et al. Discriminant malware distance learning on structural information for automated malware classification , 2013, SIGMETRICS.
[11] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[12] Chris H. Q. Ding,et al. A Semi-definite Positive Linear Discriminant Analysis and Its Applications , 2012, 2012 IEEE 12th International Conference on Data Mining.
[13] Chris H. Q. Ding,et al. Linear Discriminant Analysis: New Formulations and Overfit Analysis , 2011, AAAI.
[14] Tao Jiang,et al. Efficient and robust feature extraction by maximum margin criterion , 2003, IEEE Transactions on Neural Networks.
[15] Chris H. Q. Ding,et al. Multi-label ReliefF and F-statistic feature selections for image annotation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Ali Ghodsi,et al. Distance metric learning vs. Fisher discriminant analysis , 2008, AAAI 2008.
[17] Wei Liu,et al. Learning Distance Metrics with Contextual Constraints for Image Retrieval , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[18] Maya R. Gupta,et al. Dimensionality Reduction by Local Discriminative Gaussians , 2012, ICML.
[19] Dong Xu,et al. Trace Ratio vs. Ratio Trace for Dimensionality Reduction , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Trevor J. Hastie,et al. Sparse Discriminant Analysis , 2011, Technometrics.
[21] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[22] Feiping Nie,et al. Learning a Mahalanobis distance metric for data clustering and classification , 2008, Pattern Recognit..
[23] J. B. Rosen,et al. Lower Dimensional Representation of Text Data Based on Centroids and Least Squares , 2003 .