Hilbertian Metrics and Positive Definite Kernels on Probability Measures
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[1] C. Berg,et al. Harmonic Analysis on Semigroups , 1984 .
[2] Holger Wendland,et al. Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree , 1995, Adv. Comput. Math..
[3] C. Suquet. Distances euclidiennes sur les mesures signées et application à des théorèmes de Berry-Esséen , 1995 .
[4] S. Janson. Gaussian Hilbert Spaces , 1997 .
[5] Alexander J. Smola,et al. Learning with kernels , 1998 .
[6] Vapnik,et al. SVMs for Histogram Based Image Classification , 1999 .
[7] Bernhard Schölkopf,et al. The Kernel Trick for Distances , 2000, NIPS.
[8] Nuno Vasconcelos,et al. A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications , 2003, NIPS.
[9] R. Kondor,et al. Bhattacharyya and Expected Likelihood Kernels , 2003 .
[10] Matthias Hein,et al. Maximal Margin Classification for Metric Spaces , 2003, COLT.
[11] Matthias Hein,et al. Hilbertian Metrics on Probability Measures and Their Application in SVM?s , 2004, DAGM-Symposium.
[12] B. Fuglede. Spirals in Hilbert space: With an application in information theory , 2005 .
[13] John D. Lafferty,et al. Diffusion Kernels on Statistical Manifolds , 2005, J. Mach. Learn. Res..
[14] Bernhard Schölkopf,et al. Maximal margin classification for metric spaces , 2005, J. Comput. Syst. Sci..