Kernel Feature Maps from Arbitrary Distance Metrics
暂无分享,去创建一个
[1] Ingo Steinwart,et al. Sparseness of Support Vector Machines , 2003, J. Mach. Learn. Res..
[2] Inderjit S. Dhillon,et al. Kernel k-means: spectral clustering and normalized cuts , 2004, KDD.
[3] Alexander J. Smola,et al. Fastfood: Approximate Kernel Expansions in Loglinear Time , 2014, ArXiv.
[4] Marti A. Hearst. Trends & Controversies: Support Vector Machines , 1998, IEEE Intell. Syst..
[5] Alain Valette,et al. Kazhdan's Property (T): List of symbols , 2008 .
[6] Benjamin Recht,et al. Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning , 2008, NIPS.
[7] Yoram Singer,et al. Pegasos: primal estimated sub-gradient solver for SVM , 2007, ICML '07.
[8] Alexander J. Smola,et al. Learning with Kernels: support vector machines, regularization, optimization, and beyond , 2001, Adaptive computation and machine learning series.
[9] C. Spearman. The proof and measurement of association between two things. By C. Spearman, 1904. , 1987, The American journal of psychology.
[10] Bernhard Schölkopf,et al. The Kernel Trick for Distances , 2000, NIPS.
[11] Alain Valette,et al. Kazhdan's Property (T): KAZHDAN'S PROPERTY (T) , 2008 .
[12] Cristian Sminchisescu,et al. Random Fourier Approximations for Skewed Multiplicative Histogram Kernels , 2010, DAGM-Symposium.
[13] Harish Karnick,et al. Random Feature Maps for Dot Product Kernels , 2012, AISTATS.
[14] Michael I. Jordan,et al. Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces , 2004, J. Mach. Learn. Res..
[15] Alain Valette,et al. Kazhdan's Property (T) , 2008 .
[16] Benjamin Recht,et al. Random Features for Large-Scale Kernel Machines , 2007, NIPS.
[17] Andreas Christmann,et al. Support Vector Machines , 2008, Data Mining and Knowledge Discovery Handbook.
[18] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[19] W. Torgerson. Multidimensional scaling: I. Theory and method , 1952 .
[20] Andrew Zisserman,et al. Efficient Additive Kernels via Explicit Feature Maps , 2012, IEEE Trans. Pattern Anal. Mach. Intell..
[21] Bernhard Schölkopf,et al. Estimating the Support of a High-Dimensional Distribution , 2001, Neural Computation.
[22] G. Wahba,et al. A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines , 1970 .
[23] Panagiotis Papapetrou,et al. Nearest Neighbor Retrieval Using Distance-Based Hashing , 2008, 2008 IEEE 24th International Conference on Data Engineering.
[24] Bernhard Schölkopf,et al. Kernel Principal Component Analysis , 1997, ICANN.
[25] Gerhard Widmer,et al. A fast audio similarity retrieval method for millions of music tracks , 2010, Multimedia Tools and Applications.
[26] Christos Faloutsos,et al. FastMap: a fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets , 1995, SIGMOD '95.
[27] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..