gaussian kernel

Optimal Learning Rates for Localized SVMs JMLR 2016 Persistence weighted Gaussian kernel for topological data analysis ICML 2016 COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation ICCV 2015 Geodesic Exponential Kernels: When Curvature and Linearity Conflict CVPR 2015 Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? JMLR 2014 Recovering Distributions from Gaussian RKHS Embeddings AISTATS 2014 Fully-Connected CRFs with Non-Parametric Pairwise Potential CVPR 2013 Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials NeurIPS 2011 Multiple Kernel Learning Algorithms JMLR 2011 Optimal learning rates for least squares SVMs using Gaussian kernels NeurIPS 2011 Layer-wise analysis of deep networks with Gaussian kernels NeurIPS 2010 Classification with Gaussians and Convex Loss JMLR 2009 Automatic online tuning for fast Gaussian summation NeurIPS 2008 Learnability of Gaussians with Flexible Variances JMLR 2007 Learning with Transformation Invariant Kernels NeurIPS 2007 Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006 Gaussian and Wishart Hyperkernels NeurIPS 2006 Infinite-σ Limits For Tikhonov Regularization JMLR 2006 Support Vector Clustering JMLR 2001