SVMs and data dependent distance metric
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[1] Gert R. G. Lanckriet,et al. Metric embedding for kernel classification rules , 2008, ICML '08.
[2] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[3] David Suter,et al. A Gradient-Based Metric Learning Algorithm for k-NN Classifiers , 2010, Australasian Conference on Artificial Intelligence.
[4] Alexander J. Smola,et al. Learning with kernels , 1998 .
[5] W. Marsden. I and J , 2012 .
[6] Inderjit S. Dhillon,et al. Structured metric learning for high dimensional problems , 2008, KDD.
[7] Manik Varma,et al. Learning The Discriminative Power-Invariance Trade-Off , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[8] Anthony Widjaja,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2003, IEEE Transactions on Neural Networks.
[9] Cordelia Schmid,et al. Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).
[10] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[11] Jerome H. Friedman,et al. Flexible Metric Nearest Neighbor Classification , 1994 .
[12] Sayan Mukherjee,et al. Choosing Multiple Parameters for Support Vector Machines , 2002, Machine Learning.