K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
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[1] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[2] Keinosuke Fukunaga,et al. The optimal distance measure for nearest neighbor classification , 1981, IEEE Trans. Inf. Theory.
[3] David J. Hand,et al. The multi-class metric problem in nearest neighbour discrimination rules , 1990, Pattern Recognit..
[4] Léon Bottou,et al. Local Learning Algorithms , 1992, Neural Computation.
[5] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[6] Jerome H. Friedman,et al. Flexible Metric Nearest Neighbor Classification , 1994 .
[7] Vladimir Vapnik,et al. The Nature of Statistical Learning , 1995 .
[8] Robert Tibshirani,et al. Discriminant Adaptive Nearest Neighbor Classification and Regression , 1995, NIPS.
[9] Yann LeCun,et al. Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation , 1996, Neural Networks: Tricks of the Trade.
[10] Trevor J. Hastie,et al. Optimal Kernel Shapes for Local Linear Regression , 1999, NIPS.
[11] Stan Z. Li,et al. Face recognition using the nearest feature line method , 1999, IEEE Trans. Neural Networks.
[12] Daphne Koller,et al. Restricted Bayes Optimal Classifiers , 2000, AAAI/IAAI.
[13] Jason Weston,et al. Vicinal Risk Minimization , 2000, NIPS.
[14] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[15] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[16] Beichuan Zhang,et al. Is the Maximal Margin Hyperplane Special in a Feature Space? Hewlett-Packard Labs Tech Report HPL-20 , 2001 .