A trace ratio maximization approach to multiple kernel-based dimensionality reduction
暂无分享,去创建一个
[1] Jonathan J. Hull,et al. A Database for Handwritten Text Recognition Research , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[2] 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).
[3] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[4] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[5] Mikhail Belkin,et al. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.
[6] I. Jolliffe. Principal Component Analysis , 2002 .
[7] Xiaofei He,et al. Locality Preserving Projections , 2003, NIPS.
[8] Nello Cristianini,et al. Learning the Kernel Matrix with Semidefinite Programming , 2002, J. Mach. Learn. Res..
[9] Bernhard Schölkopf,et al. A kernel view of the dimensionality reduction of manifolds , 2004, ICML.
[10] John Shawe-Taylor,et al. Canonical Correlation Analysis: An Overview with Application to Learning Methods , 2004, Neural Computation.
[11] Hwann-Tzong Chen,et al. Local discriminant embedding and its variants , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[12] Hinrich Schütze,et al. Introduction to information retrieval , 2008 .
[13] Stephen P. Boyd,et al. Optimal kernel selection in Kernel Fisher discriminant analysis , 2006, ICML.
[14] Shuicheng Yan,et al. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction , 2007 .
[15] Jiawei Han,et al. Semi-supervised Discriminant Analysis , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[16] Dong Xu,et al. Trace Ratio vs. Ratio Trace for Dimensionality Reduction , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Jieping Ye,et al. Multi-class Discriminant Kernel Learning via Convex Programming , 2008, J. Mach. Learn. Res..
[18] Feiping Nie,et al. Trace Ratio Criterion for Feature Selection , 2008, AAAI.
[19] Mehryar Mohri,et al. Learning Non-Linear Combinations of Kernels , 2009, NIPS.
[20] Yoonsuck Choe,et al. Manifold Alpha-Integration , 2010, PRICAI.
[21] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[22] Chiou-Shann Fuh,et al. Multiple Kernel Learning for Dimensionality Reduction , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Mohammed Bellalij,et al. The Trace Ratio Optimization Problem , 2012, SIAM Rev..